REFRENCES

Basic Control system refrences - II

2008-11-26T22:06:00.001-08:00

1) Hurwitz, A., "On the Conditions Under Which an Equation Has Only Roots With Negative Real Parts," Mathematische Annalen, vol. 46, pp. 273-284, 1895.

2) James, H.M., N.B. Nichols, and R.S. Phillips, Theory of Servomechanisms, New York: McGraw-Hill, M.I.T. Radiation Lab. Series, Vol. 25, 1947.

3) Jury, E.I., "Recent Advances in the Field of Sampled-Data and Digital Control Systems," Proc. Conf. Int. Federation Automat. Control, pp. 240-246, Moscow, 1960.

4) Kalman, R.E., "Contributions to the theory of optimal control,"Bol. Soc. Mat. Mexicana, vol. 5, pp. 102-119, 1960.

5) Kalman, R.E., "A New Approach to Linear Filtering and Prediction Problems," ASME J. Basic Eng., vol. 82, pp.34-45, 1960.

6) Kalman, R.E. and R.S. Bucy, "New Results in Linear Filtering and Prediction Theory," ASME J. Basic Eng., vol. 80, pp. 193-196, 1961.

7) Kalman, R.E., and J.E. Bertram, "Control System Analysis and Design via the 'Second Method' of Lyapunov. I. Continuous-time Systems," Trans. ASME J. Basic Eng., pp. 371-393, June 1960.

8) Kolmogorov, A.N., "Interpolation and Extrapolation von Stationaren Zufalligen Folgen," Bull. Acad. Sci. USSR, Ser. Math. vol. 5, pp. 3-14, 1941.

9) Kuhn, T.S., The Structure of Scientific Revolutions, Chicago: Univ. of Chicago Press, 1962.

10) Kuo, Benjamin C., Analysis and Synthesis of Sampled-Data Control Systems, New Jersey: Prentice-Hall, 1963.

11) Lauer, H., R.N. Lesnick, and L.E. Matdon, Servomechanism Fundamentals, New York: McGraw-Hill 1947.

12) Lyapunov, M.A., "Problème général de la stabilité du mouvement," Ann. Fac. Sci. Toulouse, vol. 9, pp. 203-474, 1907. (Translation of the original paper published in 1892 in Comm. Soc. Math. Kharkow and reprinted as Vol. 17 in Ann. Math Studies, Princeton University Press, Princeton, N.J., 1949.)

13) MacColl, L.A., Fundamental Theory of Servomechanisms, New York: Van Nostrand, 1945.

14) MacFarlane, A.G.J., and I. Postlethwaite, "The Generalized Nyquist Stability Criterion and Multivariable Root Loci," Int. J. Contr., vol. 25, pp. 81-127, 1977.

15) Maxwell, J.C., "On Governors," Proc. Royal Soc. London, vol. 16, pp. 270-283, 1868.

16) Mayr, O., The Origins of Feedback Control, Cambridge: MIT Press, 1970.

17) Minorsky, N., "Directional Stability and Automatically Steered Bodies," J. Am. Soc. Nav. Eng., vol. 34, p. 280, 1922.

18) Narendra, K.S., and R.M. Goldwyn: "A Geometrical Criterion for the Stability of Certain Nonlinear Nonautonomous Systems," IEEE Trans. Circuit Theory, vol. CT-11, no. 3, pp. 406-407, 1964.

19) Nyquist, H., "Regeneration Theory," Bell Syst. Tech. J., 1932.

20) Pontryagin, L.S., V.G. Boltyansky, R.V. Gamkrelidze, and E.F. Mishchenko, The Mathematical Theory of Optimal Processes, New York: Wiley, 1962.

21) Popov, V.M., "Absolute Stability of Nonlinear Systems of Automatic Control," Automat. Remote Control, vol. 22, no. 8 , pp. 857-875, 1961.

22) Ragazzini, J.R., and G.F. Franklin, Sampled-Data Control Systems, New York: McGraw-Hill, 1958.

23) Ragazzini, J.R. and L.A. Zadeh, "The Analysis of Sampled-Data Systems," Trans. AIEE, vol. 71, part II, pp. 225-234, 1952.

24) Rosenbrock, H.H., Computer-Aided Control System Design, New York: Academic Press, 1974.

25) Routh, E.J., A Treatise on the Stability of a Given State of Motion, London: Macmillan & Co., 1877.

26) Safonov, M.G., A.J. Laub, and G.L. Hartmann, "Feedback Properties of Multivariable Systems: The Role and Use of the Return Difference Matrix," IEEE Trans. Auto. Cont., vol. 26, no. 1, pp. 47-65, 1981.

27) Sandberg, I.W., "A Frequency-Domain Condition for the Stability of Feedback Systems Containing a Single Time-Varying Nonlinear Element," Bell Syst. Tech. J., vol. 43, no. 4, pp. 1601-1608, 1964.

28) Truxal, J.G., Automatic Feedback Control System Synthesis, New York: McGraw-Hill, 1955.

29) Vyshnegradsky, I.A., "On Controllers of Direct Action," Izv. SPB Tekhnolog. Inst., 1877.

30) Whitehead, A.N., Science and the Modern World, Lowell Lectures (1925), New York: Macmillan, 1953.

31) Wiener, N., The Extrapolation, Interpolation, and Smoothing of Stationary Time Series with Engineering Applications, New York: Wiley, 1949.

32) Wiener, N., Cybernetics: or Control and Communication in the Animal and the Machine, Cambridge: MIT Press, 1948.

33) Zames, G., "On the Input-Output Stability of Time-Varying Non-linear Feedback Systems, Part I: Conditions Derived Using Concepts of Loop Gain, Conicity, and Positivity," IEEE Trans. Automatic Control, vol. AC-11, no. 2, pp. 228-238, 1966.

34) Zames, G., "On the Input-Output Stability of Time-Varying Non-linear Feedback Systems, Part II: Conditions Involving Circles in the Frequency Plane and Sector Nonlinearities," IEEE Trans. Automatic Control, vol. AC-11, no. 3, pp. 465-476, 1966.

Basic Control system refrences - I

2008-11-26T22:05:00.001-08:00

1) Airy, G.B., "On the Regulator of the Clock-Work for Effecting Uniform Movement of Equatorials," Memoirs of the Royal Astronomical Society, vol. ll, pp. 249-267, 1840.

2) Åström, K.J., Introduction to Stochastic Control Theory, New York: Academic Press, 1970.

3) Åström, K.J., and B. Wittenmark, Computer-Controlled Systems: Theory and Design, New Jersey: Prentice-Hall, 1984.

4) Bellman, R., Dynamic Programming, New Jersey: Princeton Univ. Press, 1957.

5) Bertalanffy, L. von, "A quantitative theory of organic growth," Human Biology, vol. 10, pp. 181-213, 1938.

6) Black, H.S., "Stabilized Feedback Amplifiers," Bell Syst. Tech. J., 1934.

7) Bode, H.W., "Feedback Amplifier Design," Bell System Tech. J., vol. 19, p. 42, 1940.

8) Bokharaie, M., A summary of the History of Control Theory, Internal Rept., School of Elect. Eng., Ga. Inst. of Technology, Atlanta, GA 30332, 1973.

9) Brown, G.S. and D.P. Campbell, Principles of Servomechanisms, New York: Wiley, 1948.

10) Chestnut, H. and R.W. Mayer, Servomechanisms and Regulating System Design, vol. 1, 1951, vol. 2, 1955, Wiley.

11) Desoer, C.A., "A Generalization of the Popov Criterion," IEEE Trans. Autom. Control, vol. AC-10, no. 2, pp. 182-185, 1965.

12) Dorato, P., "A Historical Review of Robust Control," IEEE Control Systems Magazine, pp. 44-47, April 1987.

13) Doyle, J.C. and G. Stein, "Multivariable Feedback Design: Concepts for a Classical/Modern Synthesis," IEEE Trans. Automat. Contr., vol. AC-26, pp. 4-16, Feb. 1981.

14) Evans, W.R., "Graphical Analysis of Control Systems," Trans. AIEE, vol. 67, pp. 547-551,1948.

15) Friedland, B., Control System Design: An Introduction to State-Space Methods, New York: McGraw-Hill, 1986.

16) Fuller, A.T., "The Early Development of Control Theory," Trans. ASME (J. Dynamic Systems, Measurement, & Control), vol. 98G, no. 2, pp. 109-118, June 1976.

17) Fuller, A.T., "The Early Development of Control Theory II," Trans. ASME (J. Dynamic Systems, Measurement & Control), vol. 98G, no. 3 pp. 224-235, September 1976.

18) Gelb, A., ed., Applied Optimal Estimation, Cambridge: MIT Press, 1974.

19) Hall, A.C., "Application of Circuit Theory to the Design of Servomechanisms," J. Franklin Inst., 1966.

20) Házen, H.L., "Theory of Servo-mechanisms," J. Franklin Inst., 1934.

Radio Thearpy Refrence

2008-11-19T07:40:00.000-08:00

Khan, M. F. Physics of Radiation Therapy, 1st ed. (Lippincott Williams & Wilkins, 1984, USA)
Tapley, Norah duV., Clinical Applications of the Electron Beam (John Wiley & Sons, Inc., 1976, USA)
International Commission on radiation units and measurements. ICRU report No.62: Prescribing, recording and reporting photon beam therapy (supplement to ICRU report 50). (1999)
Klevenhagen, S. C., Physics of Electron Beam Therapy (Adam Higler Ltd. Bristol, England, 1985)
Varian Oncology Systems, CLINAC® 2100C/D, 2300C/D, 21EX, 23EX systems manual, 1998
International Commission on radiation units and measurements. ICRU report No.24: Determination of absorbed dose in a patient irradiated by beams of X or Gamma rays in radiotherapy procedure. (1976)
American Association of Physicist in Medicine, Task Group 51, “ AAPM’s TG-51 protocol for clinical reference dosimtery of high-energy photon and electron beams,” Med. Phys. 18, 1847-1870 (1999).
Scharf, W. H. Biomedical Particle Accelerators, (American Institute of Physics, 1994, USA).
Biggs, P. J., Arthur, L. B. and Doppke, K. P. , “Electron dosimtery of irregular fields on the clinac 18,” Int. J. Radiation Oncology Biol. Phys. 5, 433-440 (1979).
Kubo, H., “Effects of electron cutouts on absorbed dose in and outside varian-20 electron fields,” Medical Dosimetry 15, 61-66 (1990).
McParland, B. J., “ An analysis of equivalent fields for electron beam central –Axis dose calculations,” Med. Phys. 19, 901-906 (1992).
Mills, M. D., Hogstrom K. R. and Almond P. R., “Prediction of electron beam output factors,” Med. Phys. 9, 60-68 (1982).
Bruinvis, I. A. D., Van Amstel, A., Elvelt, A. J. and Van der Laarse, R., “Calculation of electron beam dose distributions of arbitrarily shaped fields,” Phys. Med. Biol. 28, 667-683 (1983).
Mills, M. D., Hogstrom K. R. and Fields, R. S., “Determination of electron beam output factors for a 20 MeV linear accelerator,” Med. Phys. 12, 473-476 (1985).
Jursinic, P. A. and Richard, M. , “A sector integration method for calculating the output factors of irregularly shaped electron fields,” Med. Phys. 24, 1765-1769 (1997).
Walker, A. V., “A method of predicting electron output factors at extended distances,” M.S. thesis, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA, 1998.
Choi, David R, Wolters, John, Mason, Darcy and Baillie, Alistair, “ Modified sector-integration method predicting the output factors of electron beams including extended source to surface distance,” Phys. Med. Biol. 45, 3367-3372 (2000).
Zhang, G. G., Rogers D. W. O., Cygler J. E. and Mackie T. R., “ Monte Carlo investigation of electron beam output factors versus size of square output,” Med. Phys. 26, 743-750 (1999).
Rogeres, D. Figure: MD2 head simulation. 29 March, 1990. http://www.irs.inms.nrc.ca/inms/irs/papers/cutout/node14.html (03 March, 2002).
Rogeres, D. Figure 2: Clinac 2100C accelerator view: type II applicator.16 June, 1995. http://www.irs.inms.nrc.ca/inms/irs/papers/PIRS439/node21.html#fig_4accel_cl2100c (03 March, 2002).
Kapur, Ajay, Ma, C-M, Mok, Ed C, Findley, David O and Boyer, Arthur L, “Monte Carlo calculations of electron beam factors for a medical linear accelerator,” Phys. Med. Biol. 43, 3479-3494 (1998).
Chen, J. Z., VanDyk, J., Lewis, C. and Battista, J. J., “A two-source model for electron beams: Calculation of relative output factors,” Med. Phys. 28, 1735-1745 (2001).
Wellhöfer Dosimetrie, Ion Chamber IC 10 description manual.
Cole-Parmer Instrument Company. EW-93905-81 Precision spirit-filled thermometers1999. http://www.coleparmer.com/catalog/product_view.asp?pfx=EW&sku=9390581&cat=1&sel=9390581 (10 March 2002).
American Association of Physicist in Medicine, Task Group 25, “ Clinical electron-beam dosimetry: Report of AAPM Radiation Therapy Committee Task Group No.25,” Med. Phys. 18, 73-109 (1991).
Mann, L. Jr. Applied Engineering Statistics for Practicing Engineers, (Barns and Noble Inc., 1970, USA).
Mendez, P. “Predicating electron output on the varian models 2100C and 21EX clinancs,” M.S. thesis, Louisiana State University, Baton Rouge, LA, 2001

Olive oil's health benefits

2008-10-14T04:09:00.001-07:00

1. Keys A, Menotti A, Karvonen MJ, et al.: The diet and 15-year death rate in the Seven Countries Study. Am J Epidemiol 124: 903-915 (1986)

2. Willett WC: Diet and coronary heart disease. Monographs in Epidemiology and Biostatistics 15: 341-379 (1990)

3. World Health Organization: Diet, nutrition, and the prevention of chronic diseases. Report of a WHO Study Group. WHO Technical Report Series 797, Geneva 1990

References on Evolutionary Multiobjective Optimization - A

2008-09-29T00:36:00.001-07:00

Raslan Hashim Al-Abaji. Evolutionary Techniques for Multi-Objective VLSI Netlist Partitioning, MSc Thesis, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia, August 2002 (abstract).
Hussein A. Abbass, Ruhul Sarker and Charles Newton. PDE: A Pareto-frontier Differential Evolution Approach for Multi-objective Optimization Problems, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 971--978, May 2001
Hussein A. Abbass. A Memetic Pareto Evolutionary Approach to Artificial Neural Networks, in The Australian Joint Conference on Artificial Intelligence, Adelaide, Australia, Lecture Notes in Artificial Intelligence Vol. 2256, Springer, pp. 1-12, December 2001.
Hussein A. Abbass and Ruhul Sarker. Simultaneous Evolution of Architectures and Connection Weights in ANNs, in The Artificial Neural Networks and Expert Systems Conference (ANNES'01), Dunedin, New Zealand, pp. 16--21, November 2001.
Hussein A. Abbass. The Self-Adaptive Pareto Differential Evolution Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 831--836, IEEE Service Center, Piscataway, New Jersey, May 2002.
Hussein A. Abbass and Ruhul Sarker. The Pareto Differential Evolution Algorithm, International Journal on Artificial Intelligence Tools, Vol. 11, No. 4, pp. 531--552, 2002.
Hussein A. Abbass. An Evolutionary Artificial Neural Networks Approach for Breast Cancer Diagnosis, Artificial Intelligence in Medicine, Vol. 25, No. 3, pp. 265--281, 2002.
Hussein A. Abbass and Kalyanmoy Deb. Searching under Multi-evolutionary Pressures, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 391--404, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .
Hussein A. Abbass. Speeding up backpropagation using multiobjective evolutionary algorithms, Neural Computation, Vol. 15, No. 11, pp. 2705--2726, November 2003 .
Hussein A. Abbass. Pareto Neuro-Evolution: Constructing Ensemble of Neural Networks Using Multi-objective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2074--2080, IEEE Press, Canberra, Australia, December 2003 .
Hussein A. Abbass. An Inexpensive Cognitive Approach for Biobjective Optimization using Bliss Points and Interaction, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 712--721, Birmingham, UK, September 2004 .
H.A. Abbass. An economical cognitive approach for bi-objective optimization using bliss points, visualization and interaction, in Soft Computing, 10(8):687-698, June 2006.
Hussein Abbass. Pareto-Optimal Approaches to Neuro-Ensemble Learning, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 407--427, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006.
Mostafa I.H. Abd-El-Barr and Salman A. Khan. Design and analysis of a fault tolerant hybrid mobile scheme, Information Sciences, Vol. 177, No. 12, pp. 2602--2620, June 15, 2007 .
M. F. Abbod, D. A. Linkens, and M. Mahfouf. Multi-Objective Genetic Optimization for Self-Organizing Fuzzy Logic Control. In Proceedings of UKACC Control'98, pages 1575-1580, University of Wales Swansea, UK, september 1998. IEE.
M.A. Abido. A new multiobjective evolutionary algorithm for environmental/economic power dispatch, Power Engineering Society Summer Meeting, Vol. 2, pp. 1263--1268, IEEE, 2001.
M.A. Abido and J.M. Bakhashwain. A Novel Multiobjective Evolutionary Algorithm for Optimal Reactive Power Dispatch Proble, in Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems, 2003 (ICECS 2003), IEEE, Vol. 3, pp. 1054--1057, December 2003.
M.A. Abido. Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 3, pp. 315--329, June 2006 .
M.A. Abido. Multiobjective Optimal VAR Dispatch Using Strength Pareto Evolutionary Algorithm, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 2745--2751, IEEE, Vancouver, BC, Canada, July 2006 .
M.A. Abido. Two-Level of Nondominated Solutions Approach to Multiobjective Particle Swarm Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 726--733, Vol. 1, ACM Press, London, UK, July 2007 .
J.A.R. Abraham and I.C. Parmee. Extraction of Emerging Multi-Objective Design Information from COGA Data, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 221--233, Springer, London, 2004 .
Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors). Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, Springer, USA, 2005, ISBN 1-85233-787-7 .
Ajith Abraham and Lakhmi Jain. Evolutionary Multiobjective Optimization, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, pp. 1--6, Springer, USA, 2005 .
Ajith Abraham, Crina Grosan, Sang Yong Han and Alexander Gelbukh. Evolutionary Multiobjective Optimization Approach for Evolving Assemble of Intelligent Paradigms for Stock Market Modeling, in Alexander Gelbukh, Álvaro de Albornoz and Hugo Terashima-Marín (editors), MICAI 2005: Advances in Artificial Intelligence, Springer, pp. 673--681, Lecture Notes in Artificial Intelligence Vol. 3789, Monterrey, México, November 2005 .
Adnan Acan and Ahmet Unveren. Evolutionary Multiobjective Optimization with a Segment-Based External Memory Support for the Multiobjective Quadratic Assignment Problem. , in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2723--2729, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.
Jesús Antonio Acosta Sarmiento. Aprendizaje de Particiones Difusas para Razonamiento Inductivo, PhD thesis, Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya, Barcelona, Spain, December 2006 (In Spanish).
Salem F. Adra, Ian Griffin and Peter J. Fleming. Hybrid Multiobjective Genetic Algorithm with a New Adaptive Local Search Process, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1009--1010, Vol. 1, ACM Press, New York, USA, June 2005
Salem F. Adra, Ahmed I. Hamody, Ian Griffin and Peter J. Fleming. A Hybrid Multi-Objective Evolutionary Algorithm Using an Inverse Neural Network for Aircraft Control System DesignA , in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1--8, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
S.F. Adra, I.A. Griffin and P.J. Fleming. An Adaptive Memetic Algorithm for Enhanced Diversity, in I.C. Parmee (Editor), Adaptive Computing in Design and Manufacture 2006. Proceedings of the Seventh International Conference, pp. 251--254, The Institute for People-centred Computation, Bristol, UK, April 2006.
Salem F. Adra, Ian Griffin and Peter J. Fleming. A Comparative Study of Progressive Preference Articulation Techniques for Multiobjective Optimisation, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 908--921, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .
Salem F. Adra, Ian Griffin, and Peter J. Fleming. An Informed Convergence Accelerator for Evolutionary Multiobjective Optimiser, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 734--740, Vol. 1, ACM Press, London, UK, July 2007 .
Salem Fawaz Adra. Improving Convergence, Diversity and Pertinency in Multiobjective Optimisation, PhD thesis, Department of Automatic Control and Systems Engineering, The University of Sheffield, UK, October 2007 (abstract).
Jeroen C.J.H. Aerts, Marjan van Herwijnen and Theodor J. Stewart. Using Simulated Annealing and Spatial Goal Programming for Solving a Multi Site Land Use Allocation Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 448--463, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .
Alexandros Agapitos and Simon M. Lucas. Evolving a Statistics Class Using Object Oriented Evolutionary Programming, in Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi and Anna Isabel Esparcia-Alcázar (editors), Genetic Programming, 10th European Conference, EuroGP 2007, pp. 291--300, Springer. Lecture Notes in Computer Science Vol. 4445, Valencia, Spain, April 2007 .
Alexandros Agapitos, Julian Togelius, and Simon M. Lucas. Multiobjective techniques for the Use of State in Genetic Programming applied to Simulated Car Racing. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1562--1569, IEEE Press, Singapore, September 2007.
P. Agarwal and A.M. Raich. Design and optimization of steel trusses using genetic algorithms, parallel computing, and human-computer interaction, Structural Engineering and Mechanics, Vol. 23, No. 4, pp. 325--337, July 10, 2006 .
Varun Aggarwal and Una-May O'Reilly. COSMO: A Correlation Sensitive Mutation Operator for Multi-Objective Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 741--748, Vol. 1, ACM Press, London, UK, July 2007 .
Eleni Aggelogiannaki and Haralarnbos Sarimveis. Simulated annealing algorithm for prioritized multiobjective optimization-implementation in an adaptive model predictive control configuration, IEEE Transactions on Systems, Man, and Cybernetics Part B--Cybernetics, Vol. 37, No. 4, pp. 902--915, August 2007 .
N. Agrawal, G.P. Rangaiah, A.K. Ray and S.K. Gupta. Multi-Objective Optimization of the Operation of an Industrial Low-Density Polyethylene Tubular Reactor Using Genetic Algorithm and Its Jumping Gene Adaptations, Industrial and Engineering Chemistry Research, Vol. 45, pp. 3182--3199, 2006 .
Shubham Agrawal, Yogesh Dashora, Manoj Kumar Tiwari and Young-Jun Son. Interactive Particle Swarm: A Pareto-Adaptive Metaheuristic to Multiobjective Optimization, IEEE Transactions on Systems, Man, and Cybernetics Part A--Systems and Humans, Vol. 38, No. 2, pp. 258--277, March 2008 .
Jose Aguilar and Pablo Miranda. Approaches Based on Genetic Algorithms for Multiobjective Optimization Problems, In Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela, and Robert E. Smith, editors, GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference, volume 1, pages 3--10, Orlando, Florida, USA, 1999. Morgan Kaufmann Publishers.
Jose Aguilar and Pablo Miranda. Resolution of the Left Ventricle 3D Reconstruction Problem using Approaches based on Genetic Algorithm for Multiobjective Problems, In 1999 Congress on Evolutionary Computation, pages 913--920, Vol. 2, Washington, D.C., July 1999. IEEE Service Center.
Hernán E. Aguirre, Kiyoshi Tanaka, Tatsuo Sugimura, and Shinjiro Oshita. Halftone Image Generation with Improved Multiobjective Genetic Algorithm. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 501-515. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.
Hernán Eduardo Aguirre Durán. Generational Parallel Varying Mutation GAs and their Applications, PhD thesis, Shinshu University, Japan, March 2003 (abstract) .
Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos A. Coello Coello, Giovanni Lizárraga Lizárraga, and Efrén Mezura Montes. Handling Constraints using Multiobjective Optimization Concepts, International Journal for Numerical Methods in Engineering, Volume 59, No. 15, pp. 1989--2017, April 2004 .
Arturo Hernández Aguirre, Ricardo Salem Zebulum and Carlos A. Coello Coello. Evolutionary Multiobjective Design targeting a Field Programmable Transistor Array, in Ricardo S. Zebulum, David Gwaltney, Gregory Hornby, Didier Keymeulen, Jason Lohn and Adrian Stoica (editors), Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware, pp. 199--205, IEEE Computer Society, Los Alamitos, California, June 2004 .
Hernán E. Aguirre, Masahiko Sato and Kiyoshi Tanaka. Preliminary Study on the Performance of Multi-objective Evolutionary Algorithms with MNK-Landscapes, in Proceedings of the 2004 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP 2004), pp. 315--318, The Research Institute of Signal Processing Japan, Hawaii, USA, March 2004 .
Hernán E. Aguirre and Kiyoshi Tanaka. Insights on Properties of Multiobjective MNK-Landscapes, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 196--203, Portland, Oregon, USA, June 2004 .
Arturo Hernández Aguirre, Salvador Botello Rionda and Carlos A. Coello Coello. PASSSS: An Implementation of a Novel Diversity Strategy for Handling Constraints, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 403--410, Portland, Oregon, USA, June 2004 .
Hernán E. Aguirre and Kiyoshi Tanaka. Effects of Elitism and Population Climbing on Multiobjective MNK-Landscapes, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 449--456, Portland, Oregon, USA, June 2004 .
Arturo Hernández Aguirre and Salvador Botello Rionda. Evolutionary Multi-Objective Optimization of Trusses, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 201--226, World Scientific, Singapore, 2004.
H. Aguirre and K. Tanaka. Random bit climbers on multiobjective MNK-Landscapes: Effects of memory and population climbing, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, Vol. E88A, No. 1, pp. 334--345, January 2005 .
Hernán Aguirre and Kiyoshi Tanaka. Selection, Drift, Recombination, and Mutation in Multiobjective Evolutionary Algorithms on Scalable MNK-Landscapes, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 355--369, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .
Hernán E. Aguirre and Kiyoshi Tanaka. Working principles, behavior, and performance of MOEAs on MNK-landscapes, European Journal of Operational Research, Vol. 181, No. 3, pp. 1670--1690, 16 September, 2007 .
Hernán Aguirre, Hiroyuki Okazaki, and Yasushi Fuwa. An Evolutionary Multiobjective Approach to Design Highly Non-linear Boolean Functions, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 749--756, Vol. 1, ACM Press, London, UK, July 2007 .
Frank J. Aherne, Neil A. Thacker, and Peter I. Rockett. Optimal Pairwise Geometric Histograms. In Adrian F. Clark, editor, Electronic Proceedings of the Eighth British Machine Vision Conference, BMVC97, University of Essex, United Kingdom, September 1997.
Frank J. Aherne, Neil A. Thacker, and Peter I. Rockett. Automatic Parameter Selection for Object Recognition using a Parallel Multiobjective Genetic Algorithm. In Proceedings of the 7th International Conference on Computer Analysis of Images and Patterns (CAIP'97), Lecture Notes in Computer Science 1296, pages 559-566, Kiel, Germany, September 1997. Springer Verlag.
Frank J. Aherne, Neil A. Thacker, and Peter I. Rockett. Optimising Object Recognition Parameters using a Parallel Multiobjective Genetic Algorithm, In Proceedings of the 2nd IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'97), pages 1-6, Glasgow, Scotland, September 1997. IEE.
Chang Wook Ahn. Advances in Evolutionary Algorithms. Theory, Design and Practice, Springer, ISBN 3-540-31758-9, 2006 .
Ashish Ahuja, Sanjoy Das and Anil Pahwa. An AIS-ACO hybrid approach for multi-objective distribution system reconfiguration, IEEE Transactions on Power Systems, Vol. 22, No. 3, pp. 1101--1111, August 2007 .
Chang Wook Ahn and R.S. Ramakrishna. Multiobjective Real-coded Bayesian Optimization Algorithm Revisited: Diversity Preservation, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 593--600, Vol. 1, ACM Press, London, UK, July 2007 .
Shamim Akhtar, Kang Tai and Tapabrata Ray. A Socio-Behavioural Simulation Model for Engineering Design Optimization, Engineering Optimization, Vol. 34, No. 4, pp. 341--354, 2002.
Sameer Alam, Lam T. Bui, Hussein A. Abbass and Michael Barlow. Pareto Meta-heuristics for Generating Safe Flight Trajectories Under Weather Hazards, in Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein Abbass, Hitoshi Iba, Guoliang Chen and Xin Yao (editors), Simulated Evolution and Learning, 6th International Conference, SEAL 2006, pp. 829--836, Springer. Lecture Notes in Computer Science Vol. 4247, Hefei, China, October 2006.
Bilal Alatas, Erhan Akin and Ali Karci. Modenar: Multi-objective differential evolution algorithm for mining numeric association rules, Applied Soft Computing, Vol. 8, No. 1, pp. 646--656, January 2008 .
E. Alba, B. Dorronsoro, F. Luna, A.J. Nebro, P. Bouvry and L. Hogie. A cellular multi-objective genetic algorithm for optimal broadcasting strategy in metropolitan MANETs, Computer Communications, Vol. 30, No. 4, pp. 685--697, February 2007 .
Alberto and P.M. Mateo. Representation and management of MOEA populations based on graphs, European Journal of Operational Research, Vol. 159, No. 1, pp. 52--65, November 2004 .
M. E. Alemany and C. Andrés and E. Vicens. A new genetic algorithm for the machine grouping problem with multiple objectives, in Ashayeri and Sullivan and Ahmad (eds), Proceedings of Flexible Automation and Intelligent Manufacturing (FAIM 1999), pp. 461--473, 1999
M. Ali-Tavoli, N. Nariman-Zadeh, A. Khakhali and M. Mehran. Multi-objective optimization of abrasive flow machining processes using polynomial neural networks and genetic algorithms, Machining Science and Technology, Vol. 10, No. 4, pp. 491--510, October-December 2006.
B. Aljibouri, E.G. Lim, H. Evans and A. Sambell. Multiobjective genetic algorithm approach for a dual-feed circular polarised patch antenna design, Electronics Letters, Vol. 36, No. 12, pp. 1005--1006, June 2000.
Robin Allenson. Genetic algorithms with gender for multi-function optimisation, Technical Report EPCC-SS92-01, Edinburgh Parallel Computing Centre, Edinburgh, Scotland, 1992.
Augusto de Almeida Prado G. Torácio and Aurora Trinidad Ramírez Pozo. Multiple Objective Particle Swarm for Classification-Rule Discovery, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 684--691, IEEE Press, Singapore, September 2007.
P. Alotto, A. V. Kuntsevitch, Ch. Magele, G. Molinari, C. Paul, K. Preis, M. Repetto, and K. R. Richter. Multiobjective Optimization in Magnetostatics: A Proposal for Benchmark Problems. Technical report, Institut für Grundlagen und Theorie Electrotechnik, Technische Universität Graz, Graz, Austria, 1996. http://www-igte.tu-graz.ac.at/team/berl01.htm
Julio E. Alvarez-Benitez, Richard M. Everson and Jonathan E. Fieldsend. A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 459--473, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .
M. Joao Alves and Joao Clímaco. An Interactive Method for 0-1 Multiobjective Problems Using Simulated Annealing and Tabu Search. Journal of Heuristics, 6(3):385-403, August 2000.
Maria Joao Alves and Marla Almeida. MOTGA: A multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problem, Computers & Operations Research, Vol. 34, No. 11, pp. 3458--3470, November 2007 .
Ahmad Al-Yamani, Sadiq M. Sait and Hassan R. Barada. HPTS: Heterogeneous Parallel Tabu Search for VLSI Placement, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 351--355, IEEE Service Center, Piscataway, New Jersey, May 2002.
N. Amanifard, N. Nariman-Zadeh, M. Borji, A. Khalkhali and A. Habibdoust. Modelling and Pareto optimization of heat transfer and flow coefficients in microchannels using GMDH type neural networks and genetic algorithms, Energy Conversion and Management, Vol. 49, No. 2, pp. 311--325, February 2008 .
P. Amato, M. Farina and C. Manara. Analysis of fuzzy-based extensions of Pareto optimality theory, in ERCIM Workshop on Soft Computing, pp. 126--134, Vienna, Austria, July 2004.
P. Amato and M. Farina. An ALife-Inspired Evolutionary Algorithm for Dynamic Multiobjective Optimization Problems, in F. Hoffmann, M. Köppen, F. Klawonn and R. Roy (editors), Advances in Soft Computing, Springer, pp. 113--125, 2005.
Lionel Amodeo, Haoxun Chen and Aboubacar El Hadji. Multi-objective Supply Chain Optimization: An Industrial Case Study, in Mario Giacobini et al. (Editors), Applications of Evolutionary Computing. EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, pp. 732--741, Springer. Lecture Notes in Computer Science Vol. 4448, Valencia, Spain, April 2007.
Ashish Anand, P. N. Suganthan and Kalyanmoy Deb. A Novel Fuzzy and Multiobjective Evolutionary Algorithm Based Gene Asignment for Clustering Short Time Series Expression Data, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 297--304, IEEE Press, Singapore, September 2007
Mark A. Anastasio, Matthew A. Kupinski, Robert M. Nishikawa, and Maryellen L. Giger. A Multiobjective Approach to Optimizing Compterized Detection Schemes, in 1998 IEEE Nuclear Science Symposium, Vol. 3, pp. 1879--1883, IEEE, 1998.
Kevin P. Anchor, Jesse B. Zydallis, Gregg H. Gunsch and Gary B. Lamont. Extending the Computer Defense Immune System: Network Intrusion Detection with a Multiobjective Evolutionary Programming Approach, in Jonathan Timmis and Peter J. Bentley (editors), First International Conference on Artificial Immune Systems (ICARIS'2002), pp. 12--21, University of Kent at Canterbury, Inglaterra, ISBN 1-902671-32-5, September 2002.
Kevin P. Anchor, Jesse B. Zydallis, Gregg H. Gunsch and Gary B. Lamont. Different Multi-objective Evolutionary Programming Approaches for Detecting Computer Network Attacks, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 707--721, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .
Murray B. Anderson and Glenn A. Gerbert. Using Pareto Genetic Algorithms for Preliminary Subsonic Wing Design, Technical Report AIAA-96-4023-CP, AIAA, Washington, D.C., 1996.
M. B. Anderson, W. R. Lawrence, and G. A. Gebert. Using an Elitist Pareto Genetic Algorithm for Aerodynamic Data Extraction. In 4th Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 1996. AIAA Paper 96-0514.
M. B. Anderson and W. R. Lawrence. Launch Conditions and Aerodynamic Data Extraction By An Elitist Pareto Genetic Algorithm. In AIAA Atmospheric Flight Mechanics Conference, San Diego, California, July 1996. AIAA Paper 96-3361.
Murray B. Anderson. Using Pareto Genetic Algorithms for Preliminary Subsonic Wing Design. In 6th AIAA/NASA/USAF Multidisciplinary Analysis and Optimization Symposium, Bellevue, Washington, September 1996. AIAA Paper 96-4023.
Jessica M. Anderson, Tessa M. Sayers, and M. G. H. Bell. Optimization of a Fuzzy Logic Traffic Signal Controller by a Multiobjective Genetic Algorithm, In Proceedings of the Ninth International Conference on Road Transport Information and Control, pages 186-190, London, April 1998. IEE.
Murray B. Anderson, J. E. Burkhalter, and R. M. Jenkins. Missile Aerodynamic Shape Optimization Using Genetic Algorithms. In AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 1999. AIAA Paper 99-0261.
M.B. Anderson, J.E. Burkhalter and R.M. Jenkins. Missile Aerodynamic Shape Optimization Using Genetic Algorithms, Journal of Spacecraft and Rockets, Vol. 37, No. 5, pp. 663--669, September-October 2000.
S.R. Anderson, V. Kadirkamanathan, A. Chipperfield, V. Sharifi and J. Swithenbank. Multi-objective optimization of operational variables in a waste incineration plant, Computers and Chemical Engineering, Vol. 29, No. 5, pp. 1121--1130, April 15, 2005 .
Johan Andersson, Jochen Pohl, and Petter Krus. Design of Objective Functions for Optimization of Multi-domain Systems, Proceedings of the 1998 ASME Winter Meeting, Fuild Power Systems and Technology, Anaheim, California, November 15-20, 1998
Johan Andersson. A Survey of Multiobjective Optimization in Engineering Design, Technical Report No. LiTH-IKP-R-1097, Department of Mechanical Engineering, Linköping University, 2000.
Johan Andersson, Petter Krus and David Wallace. Multi-Objective Optimization of Hydraulic Actuator Systems, Proceedings of the 2000 ASME Design Automation Conference, Paper DAC-14512, Baltimore, Maryland, September 2000
Johan Andersson. Multiobjective Optimization in Engineering Design, PhD Thesis, Linköpings University, Division of Fluid and Mechanical Engineering Systems, Linköping, Sweden, 2001 (abstract)
Johan Andersson and Petter Krus. Metamodel Representations for Robustness Assessment in Multiobjective Optimization, Proceedings of the 13th International Conference on Engineering Design (ICED'01), Glasgow, UK, August 2001.
Johan Andersson and Petter Krus. Multiobjective Optimization of Mixed Variable Design Problems, In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 624--638, Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001
J. Andersson and D. Wallace. Pareto optimization using the struggle genetic crowding algorithm, Engineering Optimization, Vol. 34, No. 6, pp. 623--643, December 2002.
Johan Andersson. Sensitivity Analysis in Pareto Optimal Design, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 156--161, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
Johan Andersson. Applications of a Multi-objective Genetic Algorithm to Engineering Design Problems, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 737--751, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .
Johan Andersson. Design of Fluid Power Systems using a Multi Objective Genetic Algorithm, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 483--503, World Scientific, Singapore, 2004.
Johan Andersson. Sensitivity Analysis In Multi-Objective Evolutionary Design, in Kay Chen Tan, Meng Hiot Lim, Xin Yao and Lipo Wang, (editors), Recent Advances in Simulated Evolution and Learning, pp. 386-405, World Scientific, Singapore, 2004.
Shin Ando, Jun Sakuma and Shigenobu Kobayashi. Adaptive Isolation Model using Data Clustering for Multimodal Function Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1417--1424, Vol. 2, ACM Press, New York, USA, June 2005 .
Shin Ando and Shigenobu Kobayashi. Fitness-based Neighbor Selection for Multimodal Function Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1573--1574, Vol. 2, ACM Press, New York, USA, June 2005 .
Shin Ando and Einoshin Suzuki. Distributed Multi-objective GA for Generating Comprehensive Pareto Front in Deceptive Optimization Problems, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 5718--5725, IEEE, Vancouver, BC, Canada, July 2006 .
B. Andrés-Toro, E. Besada-Portas, P. Fernández-Blanco, J.A. López-Orozco and J.M. Girón-Sierra. Multiobjective Optimization of Dynamic Processes by Evolutionary Methods, in Proceedings of the 15th IFAC World Congress on Automatic Control, Barcelona, Spain, July 2002.
Kiam Heong Ang and Yun Li. Multi-Objective Benchmark Studies for Evolutionary Computation, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 393--396, July 2001
Kiam Heong Ang, Yun Li and Kay Chen Tan. Multi-Objective Benchmark Functions and Benchmark Studies for Evolutionary Computation, Proceedings of the International Conference on Computational Intelligence for Modelling and Automation (CIMCA'2001), Las Vegas, Nevada, pp. 132--139, July 2001
Kiam Heong Ang, Gregory Chong and Yun Li. Preliminary Statement on the Current Progress of Multi-Objective Evolutionary Algorithm Performance Measurement, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1139--1144, IEEE Service Center, Piscataway, New Jersey, May 2002.
Kiam Heong Ang, Gregory Chong and Yun Li. Visualization Technique for Analyzing Non-Dominated Set Comparison, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 36--40, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.
Kiam Heong Ang, Gregory Chong and Yun Li. Visualization Technique for Analyzing Non-dominant Pareto Optimality, in Kay Chen Tan, Meng Hiot Lim, Xin Yao and Lipo Wang (editors), Recent Advances in Simulated Evolution and Learning, pp. 327--346, World Scientific, Singapore, 2004.
J. H. Ang, C. K. Goth, E. J. Teoh, and A. A. Mamun. Multi-objective Evolutionary Recurrent Neural Networks for System Identification. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1586--1592, IEEE Press, Singapore, September 2007.
Anders Angantyr, Johan Andersson and Jan-Olov Aidanpaa. Constrained Optimization based on a Multiobjective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1560--1567, IEEE Press, Canberra, Australia, December 2003 .
Anders Angantyr and Jan-Olov Aidanpää. A Pareto-Based Genetic Algorithm Search Approach to Handle Damped Natural Frequency Constraints in Turbo Generator Rotor System Design, Journal of Engineering Gas Turbines and Power, Vol. 126, No. 3, pp. 619--625, July 2004.
Anders Angantyr. Rotordynamic Optimization of Large Turbo Systems using Genetic Algorithms, PhD thesis, The Polhelm Laboratory, Division of Computer Aided Design, Lulea University of Technolog, Lulea, Sweden, March 2006 (abstract) .
Eric Angel, Evripidis Bampis and Laurent Gourvès. A Dynasearch Neighborhood for the Bicriteria Traveling Salesman Problem, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 153--176, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004 .

Daniel Angus. Crowding Population-based Ant Colony Optimization for the Multi-objective Travelling Salesman Problem, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 333--340, IEEE Press, Honolulu, Hawaii, USA, April 2007 .
Angelo Marcello Anile, Vincenzo Cutello, Giuseppe Nicosia, Rosario Rascunà and Salvatore Spinellain. Comparison among Evolutionary Algorithms and Classical Optimization Methods for Circuit Design Problems, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 765--772, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
W. Annicchiarico and M. Cerrolaza. Identification of the dynamical properties of structures using free vibration data and distributed genetic algorithms, Engineering Optimization, Vol. 39, No. 8, pp. 969--980, December 2007.
Nicolas Eugene Antoine. Aircraft Optimization for Minimal Environmental Impact, PhD thesis, Department of Aeronautics and Astronautics, Stanford University, Stanford, California, USA, August 2004 (abstract).
Francisco Aparisi and J. Carlos García-Díaz, A Multiobjective Optimization for the EWMA and MEWMA Quality Control Charts, in Proceedings of Inverse Problems, Design and Optimization Symposium (IPDO'2004), Rio de Janeiro, Brazil,March 17-19, 2004 .
Masao Arakawa, Hirotaka Nakayama, Ichiro Hagiwara and Hiroshi Yamakawa. Multiobjective Optimization Using Adaptive Range Genetic Algorithms with Data Envelopment Analysis, in A Collection of Technical Papers of the 7th Symposium on Multidisciplinary Analysis and Optimization, paper AIAA-98-4970, pp. 2074--2082, Vol. 3, 1998.
M. Arakawa, K. Hasegawa and K. Funatsu. QSAR study of anti-HIV HEPT analogues based on multi-objective genetic programming and counter-propagation neural network, Chemometrics and Intelligent Laboratory Systems, Vol. 83, No. 2, pp. 91--98, September 15, 2006 .
C. Aranha and H. Iba. Modelling Cost into a Genetic Algorithm-Based Portfolio Optimization System by Seeding an Objective Sharing, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 196--203, IEEE Press, Singapore, September 2007 .
L. Araujo. Multiobjective Genetic Programming for Natural Language Parsing and Tagging, in Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, pp. 433--442, Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006 .
B. Arkov, D.C. Evans, P.J. Fleming, D.C. Hill, J.P. Norton, I. Pratt, D. Rees, and K. Rodríguez Vázquez. System Identification Strategies Applied to Aircraft Gas-Turbine Engines. In 14th IFAC World Congress, volume 1, pages 145-152, Beijing, China, July 1999.
Rubén Armañanzas and Jose A. Lozano.A Multiobjective Approach to the Portfolio Optimization Problem, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1388--1395, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.
Vinícius Amaral Armentano and José Elias Claudio. An Application of a Multi-Objective Tabu Search Algorithm to a Bicriteria Flowshop Problem, Journal of Heuristics, Vol. 10, No. 5, pp. 463--481, September 2004.
Marc Torrens Arnal. Scalable Intelligent Electronic Catalogs, PhD thesis, Faculté Informatique et Communications Section d'Informatique, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2003 (abstract).
S. Arnone and A. Loraschi and A. Tettamanzi. A genetic approach to portfolio selection, Neural Network World, Vol. 3, No. 6, pp. 597--604, 1993.
J.E.C. Arroyo and V.A. Armentano. Genetic local search for multi-objective flowshop scheduling problems, European Journal of Operational Research, Vol. 167, No. 3, pp. 717--738, December 16, 2005 .
Jose Elias Claudio Arroyo, Pedro Sampaio Vieira and Dalessandro Soares Vianna. A GRASP algorithm for the multi-criteria minimum spanning tree problem, Annals of Operations Research, Vol. 159, No. 1, pp. 125--133, March 2008 .
T. Arslan, D. H. Horrocks, and E. Ozdemir. Structural Synthesis of Cell-based VLSI Circuits using a Multi-Objective Genetic Algorithm, IEE Electronic Letters, 32(7):651-652, March 1996.
T. Arslan, E. Ozdemir, M. S. Bright, and D. H. Horrocks. Genetic Synthesis Techniques for Low-Power Digital Signal Processing Circuits, In Proceedings of The IEE Colloquium On Digital Synthesis, pages 7/1-7/5, London, UK, February 1996. IEE.
Yilmaz Arslanoglu. Genetic Algorithm for Personnel Assignment Problem with Multiple Objectives, Masters thesis, The Graduate School of Natural and Applied Sciences of Middle East Technical University, Turkey, Janaury 2006 (abstract) .
Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. Design Space Exploration Methodologies for IP-Based System-on-a-Chip, in IEEE International Symposium on Circuits and Systems, Vol. 2, pp. 364--367, 2002.
Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. A Framework for Design Space Exploration of Parameterized VLSI Systems, in Proceedings of the 7th Asia and South Pacific Design Automation Conference and the 15th International Conference on VLSI Design, pp. 245--250, IEEE, 2002.
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi and Davide Patti. Multi-objective Optimization of a Parameterized VLIW Architecture, in Ricardo S. Zebulum, David Gwaltney, Gregory Hornby, Didier Keymeulen, Jason Lohn and Adrian Stoica (editors), Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware, pp. 191--198, IEEE Computer Society, Los Alamitos, California, June 2004 .
Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. A GA-Based Design Space Exploration Framework for Parameterized System-On-A-Chip Platforms, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 4, pp. 329--346, August 2004.
Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. A multiobjective genetic approach for system-level exploration in parameterized systems-on-a-chip, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 24, No. 4, pp. 635--645, April 2005 .
Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. An Evolutionary Approach to Network-on-Chip Mapping Problem, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 112--119, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.
Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. Mapping Cores on Network-on-Chip, International Journal of Computational Intelligence Research, Vol. 1, No. 2, pp. 109--126, 2005.
Giuseppe Ascia, Vincenzo Catania, Alessandro G. Di Nuovo, Maurizio Palesi and Davide Patti. A Multiobjective Genetic Fuzzy Approach for Intelligent System-level Exploration in Parameterized VLIW Processor Design, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6200--6207, IEEE, Vancouver, BC, Canada, July 2006 .
K. Atashkari, N. Nariman-Zadeh, A. Pilechi, A. Jamali and X. Yao. Thermodynamic Pareto optimization of turbojet engines using multi-objective genetic algorithms, International Journal of Thermal Sciences, Vol. 44, No. 11, pp. 1061--1071, November 2005 .
K. Atashkari, N. Nariman-Zadeh, M. Golcu, A. Khalkhali and A. Jamali, Modelling and multi-objective optimization of a variable valve-timing spark-ignition engine using polynomial neural networks and evolutionary algorithms, Energy Conversion and Management, Vol. 48, No. 3, pp. 1029--1041, March 2007 .
David Atienza, Christos Baloukas, Lazaros Papadopoulos, Christophe Poucet, Stylianos Mamagkakis, Jose I. Hidalgo, Francky Catthoor, Dimitrios Soudris and Juan Lanchares. Optimization of Dynamic Data Structures in Multimedia Embedded Systems Using Evolutionary Computation, In Proceedings of 10th ACM International Workshop on Software & Compilers for Embedded Systems (SCOPES), pp 31--40, ACM Press, Nice, France, 2007 .
John Atkinson-Abutridy, Chris Mellish and Stuart Aitken, A Semantically Guided and Domain-Independent Evolutionary Model for Knowledge Discovery From Texts, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 6, pp. 546--560, December 2003 .
Augugliaro, L. Dusonchet and E. Riva Sanseverino. Multiobjective service restoration in distribution networks using an evolutionary approach and fuzzy sets, Electrical Power and Energy Systems, Vol. 22, No. 2, pp. 103--110, February 2000.
Antonino Augugliaro, Luigi Dusonchet and Eleonora Riva Sanseverino. Evolving non-dominated solutions in multiobjective service restoration for automated distribution networks, Electric Power Systems Research, Vol. 59, No. 3, pp. 185--195, October 2001.
Augugliaro, L. Dusonchet, S. Favuzza and E. Riva Sanseverino. A Fuzzy-Logic based Evolutionary Multiobjective Approach for Automated Distribution Networks Management, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 847--854, Portland, Oregon, USA, June 2004 .

Gideo Avigad, Amiram Moshaiov and Neima Brauner. MOEA-Based Approach to Delayed Decisions for Robust Conceptual Design, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. Evoworkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, pp. 584--589, Springer. Lecture Notes in Computer Science Vol. 3449, Lausanne, Switzerland, March/April 2005 .
Gideon Avigad. multi-Multi-Objective Optimization Problem and Its Solution by a MOEA, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 847--861, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.
S.L. Avila, A.C. Lisboa, L. Krahenbuhl, W.P. Carpes, J.A. Vasconcelos, R.R. Saldanha and R.H.C. Takahashi. Sensitivity analysis applied to decision making in multiobjective evolutionary optimization, in IEEE Transactions on Magnetics, 42(4):1103-1106, April 2006.
B. Awadh, N. Sepehri, and O. Hawaleshka. A Computer-Aided Process Planning Model Based on Genetic Algorithms. Computers in Operations Research, 22(8):651-652, 1995.
Shapour Azarm, Brian J. Reynolds, and Sanjay Narayanan. Comparison of Two Multiobjective Optimization Techniques With and Within Genetic Algorithms, In CD-ROM Proceedings of the 25th ASME Design Automation Conference, volume Paper No. DETC99/DAC-8584, Las Vegas, Nevada, September 1999.

Fuzzy Control Refrences

2008-09-10T21:26:00.001-07:00

L.A. Zadeh, "Fuzzy Sets," Inform. Contr., vol. 8, pp. 338-353, 1965
Ian S. Shaw and Marcelo G Simoes, M.G. (1999) Controle e Modelagem Fuzzy ("in Portuguese"), Edgard Bluchert Company; ISBN: 8521202482
Ian S. Shaw (1998), Fuzzy Control of Industrial Systems : Theory and Applications, Kluwer Academic Publishers; ISBN: 0792382498
M. Godoy Simões and M. Friedhofer, "An implementation methodology of a fuzzy based decision support algorithm," International Journal of Knowledge-Based Intelligent Engineering Systems, October 1997, vol.1 no. 4, pp. 267-275.
M. Godoy Simoes, N. N. Franceschetti, "Fuzzy optimisation based control of a solar array system" IEE Proceedings - Electric Power Applications, September 1999, Vol. 146, Issue 5, pp. 552-558

Health Refrences

2008-08-30T06:18:00.001-07:00

1. Robert B. Wallace, MD, MSc, Maxy- Rosenau-Last, Public Health & Preventive Medicine 14th edition-1998

2. Wallace LJD, Calhoun AD, Powell KE, O'Neil J, James SP, Atlanta:National Center for Injury Prev. & control 1993.

3. Wilson ED:The diversity of life. Cambridge, MA: Harvard University Press, 1992

4. WHO: International statistical classification of Diseases and Related Health Problems 10th ed. Geneva.1992

Wireless Communications - Maja Bystrom

2008-05-31T02:17:00.000-07:00

1. “Marconi Father of Radio”, D. Gunston, Crowell-Collier Press: NewYork. 1965.

2. “Digital and Analog Communication Systems”, L.W. Couch II, Fifth Edition, Prentice Hall: NJ, 1997.

3. “Wireless Communications: Principles & Practice”, T.S. Rappaport, Prentice Hall: Upper Saddle River, NJ. 1996.

4. “CDMA IS-95 for Cellular and PCS”, L. Harte, M. Hoenig, D. McLaughlin, and R. Kikta, McGraw-Hill: New York, 1999.

5. “Direct Broadcast Satellite Communications”, D.C. Mead, Addison-Wesley: Upper Saddle River, NJ, 2000.

6. “DTV Survival Guide”, J. Boston, McGraw-Hill: New York, 2000.

7. “Wireless Personal Communications The Future of Talk”, R. Schneiderman, IEEE Press: New York, 1994.

8. “Advances in Wireless Terminals”, P. Lettieri and M.B. Srivastava, IEEE Personal Communications, vol 6, no. 1, pp 6-19 Feb 1999.

9. Telecommunications Act of 1996, Pub. LA. No. 104-104, 100 Stat.56 (1996).

10. http://www.fcc.gov/telecom.html

11. “Are mobile phones safe?”, K.R. Foster and J.E. Moulder, IEEE Spectrum, August 2000.

IEEE P802.11 Wireless LANs - Extensions to 802.11v Co-located Interference

2008-05-31T02:02:00.000-07:00

[1] Wireless Devices Operating in Unlicensed Frequency Bands”. Aug. 2003.

[2] “Specification of the Bluetooth System: Wireless Connections Made Easy. Version 2.1 + EDR”. Jul. 2007.

[3] IEEE P802.11s/D1.08, “Draft standard for information technology – Telecommunications and information IEEE Std 802.11-2007, “IEEE Standard for information technology – Telecommunications and information exchange between systems – Local and metropolitan area networks – Specific requirements – Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications”. Jun. 2007.

[4] IEEE P802.11v/D1.03, “Draft standard for information technology – Telecommunications and information exchange between systems – Local and metropolitan area networks – Specific requirements – Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications – Amendment 9: Wireless Network Management”. Dec. 2007.

[5] IEEE Std 802.15.2-2003, “IEEE recommended practice for information technology – Telecommunications and information exchange between systems – Local and metropolitan area networks – Specific requirements – Part 15.2: Coexistence of Wireless Personal Area Networks with Other exchange between systems – Local and metropolitan area networks – Specific requirements – Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications – Amendment: Mesh Networking”. Jan. 2008.

Jon Rosdahl

Space-Time Adaptive Processing (STAP) in Wireless Communications

2008-05-31T01:58:00.000-07:00

1. T.K. Sarkar, “Space-time adaptive processing using circular arrays”, in IEEE Antennas and Propagation Magazine, Vol: 43 Issue 4, Aug. 2001 pp793-794.

2. P.G. Richardson, “STAP covariance matrix structure and its impact on clutter plus jamming suppression solutions”, Electronics Letters, Vol: 37 Issue: 2, Jan. 2001 pp118-119.

3. Kehu Yang, “A signal subspace-base subband approach to space-time adaptive processing for mobile communications”, IEEE Transactions on Signal Processing, Vol: 49 Issue: 2, Feb. 2001 pp401-413.

4. Tapan Sarkar, “A deterministic least-squares approach to space-time adaptive processing (STAP)”, IEEE Transactions on Antennas and Propagation, Vol: 49 Issue: 1, Jan 2001 pp91-103.

5. G.A. Fabrizio, “An advanced STAP implementation for surveillance radar systems”, IEEE Signal Processing Workshop on Statistical Signal Processing, 2001 pp134-137.

6. Otis Lamont Frost, “An algorithm for linearly constrained adaptive array processing”, Proceedings of the IEEE, Vol: 60, No. 8, August 1972.

7. Sheeyun Park, “Prevention of signal cancellation in an adaptive nulling problem”, Antennas and Propagation Society International Symposium, 1997. IEEE., 1997 Digest, Vol: 2, 1997, pp1040-1043.

8. Adve, “A two stage hybrid space-time adaptive processing algorithm”, Radar Conference, 1999. The Record of the 1999 IEEE, 1999, pp279-284.

Bobby Barnes

Sensors and Wireless Communication for Medical Care

2008-05-31T01:49:00.000-07:00

Agrawal, D. P.; Zeng, Q. Introduction to Wireless and Mobile Systems. Brooks/Cole Thompson Learning, 2002. Pages: 450.

Austen, Ian. “Bouncing Signals Push the Limits of Bandwidth.” The New York Times 16 Jan. 2003: E5.

Bhargava, B.; Kamisetty, S.; and Madria, S. “Fault Tolerant Authentication in Mobile Computing”in Proceedings of International Conference on Internet Computing (IC, 2000), Special Sessions on New Paradigms in Computer Security, pp. 176-185, June 2000.

Biedka, T, et al. Smart antenna for handsets. DSPS Fest, 2000.

Cam-Winget, N., Housley, R., Wagner, D., Walker, J. “Security Flaws in 802.11 Data Link Protocols,” CACM. May 2003.

Chessa, S.; Santi, P. “Crash Faults Identification in Wireless Sensor Networks.” Computer Communications. Vol. 25, No. 14, pp. 1273-1282, Sept. 2002.

Costlow, Terry. “Despite Successes, Telemedicine’s Future is Clouded With Questions.” Today’s Engineer. Dec. 2002.

Doherty, I., Waneke, B. A., Boser, B. E., Pister, K. S. J. “Energy and Performance Considerations for Smart Dust.” International Journal of Parallel and Distributed Systems and Networks, Vol. 4, No. 3, 2001, pp. 121-133.

Estrin, D.; Girod, L.; Pottie, G.; and Srivastava, M. “Instrumenting the World with Wireless Sensor Networks.” International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2001), Salt Lake City, Utah, May 2001.

Fussman, Cal. “The guru.” Esquire Dec. 2002.

Gohring, Nancy. “Because it’s there: Putting Everest Online.” The New York Times 23 Jan. 2003: E1+.

Grady, Denise. “Forgotten Surgical Tools ‘Uncommon but Dangerous.’” The New York Times 21 Jan. 2003: D5.

Habib, A.; Hefeeda, M.; and Bhargava, B. "Detecting Service Violations and DoS Attacks," in Proc. Network and Distributed System Security Symposium (NDSS '03), San Diego, Feb 2003.

Housley, R., Arbaugh, W. “Security Problem in 802.11 based networks,” CACM. May 2003.

Inerowicz, H.; Howell, S.; and Regnier, F.; and Reifenberger, R. “Protein Microarray Fabrication for Immunosensing.” Proceedings of 224^th American Chemical Society (ACS) National Meeting, Aug. 2002.

Iyenger, S.S.; Brooks, R. Distributed Sensor Networks. CRC Press, Inc. 2003.

Iyenger, S. S.; Prasad, L., and Min, Hla. Advances in Distributed Sensor Integration: Applications and Theory. Prentice Hall, New Jersey, 07458, 1995, pp. 273.

Iyenger, S. S., Wu, Q. “Computational Aspects of Sensor Networks”, International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN’02, May 2002. pp. 23-30.

Kessler, Michelle. “High tech’s latest bright idea: Shared computing.” USA Today 9 Jan. 2003: B1+.

Khan, M.; Bhargava, B.; Agrawal, S.; Lilien, L.; and Pankaj. “Self-configuring Node Clusters and Data Aggregation in Microsensor Networks.” Technical Report, Computer Science Department, Purdue University, July 2002.

Khan, M., Katz, R. H., Pister, K. S. J. “Emerging Challenges: Mobile Networking for Smart Dust”, Journal of Communication Networks, Vol. 2, No. 3, Sept. 2000.

Khan, M., Katz, R. H., Pister, K. S. J. “Next Century Challenges: Mobile Networking for Smart Dust”, Mobicomm 99, 1999, pp. 271-278.

Koltick, D.; Kim, Y. Integrated Detection of Hazardous Materials to appear in proceedings of American Physical Society, 2003.

Krishnamachari, B., Estrin, D., Wicker, S. “The Impact of Data Aggregation in Wireless Sensor Networks,” Proc. Of the International Workshop on Distributed Event Based Systems (DEBS), Vienna, Austria, July 2002.

Kulik, J., Heinzelman, W. R., Balakrishnan, H. “Negotiation-Based Protocols for Disseminating Information in Wireless Sensor Networks,” Wireless Networks, Vol. 8, 2002, pp. 169-185.

Meguerdichian, S., Slijepcevic, S., Karayan, V., Potkonjak, M. “Localized Algorithms in Wireless Ad-hoc Networks: Location Discovery and Sensor Exposure,” MobiHOC, 2001, pp. 106-116.

Min, R. “An Architecture for a Power-Aware Distributed Microsensor Node.” IEEE Workshop on Signal Processing Systems (SiPS ’00) October 2000.

Park, S., Savvides, A., Srivastava, M. B. “Simulating Networks of Wireless Sensor Networks,” Proceedings of the 2002 Winter Simulation Conference, 2001, pp. 1330-1338.

Perrig, A.; Szewczyk, R.; Wen, V.; Culler, D.; and Tygar, J. “SPINS: Security protocols for sensor networks.” Proceedings of the 7^th Annual International Conference on Mobile Computing and Networks (MobiCom), pp. 189-199. 2001.

Porterfield, Deborah. “Digital pen’s features might be draw for some.” Journal and Courier 6 Jan. 2003: B7.

Pottie, G. J.; Kaiser, W. J. “Wireless Integrated Network Sensors,” Communications of the ACM. Vol. 43, No. 5, pp. 551-558, May 2000

Reid, G.E.; McLuckey, S. A. “ “Top Down” Protein Characterization by Tandem Mass Spectrometry.” Journal of Mass Spectrom. 2002, 37, pp. 663-675.

Riff, Kenneth. “A Physician With a Dash of Engineer.” The New York Times 5 Jan. 2003.

Schurgers, C., Tsiatsis, V., Gaberiwal, S., Srivastava, M. “Topology Management for Sensor Networks: Exploiting Latency and Density,” ACM MobiHOC 2002, pp. 135-145.

Snider, Mike. “As seen on TV: Emergency Alerts.” USA Today 9 Jan. 2003.

Tennenhouse, D. “Embedding the Internet: Proactive Computing. Communications of the ACM. Vol. 43, No. 5, pp. 43-50, 2000.

Wade, Will. “Keeping Tabs: A Two-Way Street.” The New York Times 16 Jan. 2003: E1+.

Wang, I., Jones, S. D. “The Scalability of a Class of Wireless Sensor Networks,” Modeling and Design of Wireless Networks, Proceedings of SPIE, Vol. 4531, 2001, pp. 103-113.

Wang, W., Lu, Y, Bhargava, B. “Intruder identification in Mobile Ad Hoc Networks.” IEEE Conference on Pervasive Computing, Dallas, 2003.

Warneke, B., Liebowtiz, B., Pister, K. S. J., “Smart Dust: Communicating with a Cubic Millimeter Computer,” Computer, 2001, pp. 2-9.

Wei, Y.; Heidemann, J.; and Estrin, D. “An Energy-Efficient MAC Protocol for Wireless Sensor Networks.” In Proceedings of the 21^st Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2002), New York, NY, USA, June 2002.

Wong, Edward. “Getting on the Internet at 30,000 Feet or So.” The New York Times 15 Jan. 2003: W7+.

Xu, Z. and Zoltowski, M. “Diversity Assisted Channel Estimation and Multiuser Detection for Downlink CDMA with Long Spreading Codes” to Appear in IEEE Transactions on Signal Processing, Special Issue on Signal Processing for Multiple input Multiple Output (MIMO) Wireless Communication Systems, 2003.

Zoltowski, M. and Sjogren, J. “Jam-proof Area Deniable Propagation: Anti-jam Protection for GPS via Robust, Computationally Efficient Space-time Adaptive Processing. Technical Report, Air Force Office of Scientific Research, 2000.

Zoltowski, M. Recent advances in reduced-rank adaptive filtering with applications to high-speed wireless communications. Proceedings of the Conference of the International Society for Optical Engineering, 2001.

http://www.measure.com/sensors/sensor-other.html

http://www.cs.ucla.edu/csd/CENS.html

http://www.ece.northwestern.edu/~pappas/nsf_workshop

http://www.nsf.gov/pubs/2003/nsf03512/nsf03512.htm

http://www.regenstrief.org/investigators/mcdonald.htm

http://www.jrpit.flinders.edu.au/confpapers/CRPITV14Schadow.pdf

http://www.CERIAS.purdue.edu

http://www.cs.purdue.edu/people/Li

Data Analysis and Modeling

2008-05-27T03:49:00.000-07:00

1. Xiuli Ma, Shuangfeng Li, Dongqing Yang, and Shiwei Tang. CL2: A Multi-dimensional Clustering Approach in Sensor Networks. In Proceedings of 1st International Workshop on Conceptual Model-Directed Web Information Integration and Mining (CoMWIM), Shanghai, China, November 8-12, 2004, pp 234-245.

2. Xiuli Ma, Dongqing Yang, Shiwei Tang, Qiong Luo, Dehui Zhang, and Shuangfeng Li. Online Mining in Sensor Networks. In Proceedings of the IFIP International Conference on Network and Parallel Computing (NPC), Wuhan, China, October 18-20, 2004.

3. Umberto Malesci. A Measurement-based Analysis of the Interaction among MAC, Network and Application Layers in Wireless Sensor Networks. M.Eng. Thesis, Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, 2005.

4. Radu Sion, Mikhail J. Atallah, and Sunil Prabhakar. Resilient Rights Protection for Sensor Streams. In Proceedings of the 30th International Conference on Very Large Data Bases (VLDB), Toronto, Canada, August 31 - September 3, 2004, pp 732-743.

5. Jimeng Sun, Spiros Papadimitriou, and Christos Faloutsos. Online Latent Variable Detection in Sensor Networks. In Proceedings of the 21st International Conference on Data Engineering (ICDE), Tokyo, Japan, April 5-8, 2005, pp 1126-1127.

6. Robert Szewczyk, Joseph Polastre, Alan Mainwaring, and David Culler. Lessons From A Sensor Network Expedition. In Proceedings of the 1st European Workshop on Wireless Sensor Networks (EWSN), Berlin, Germany, January 19-21, 2004, pp 307-322.

7. Yan Yu, Deborah Estrin, Ramesh Govindan, and Mohammad Rahimi. Using More Realistic Data Models to Evaluate Sensor Network Data Processing Algorithms. In Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks (LCN), Tampa, Florida, USA, November 16-18, 2004, pp 569-570.

8. Yan Yu, Deepak Ganesan, Lewis Girod, Deborah Estrin, and Ramesh Govindan. Synthetic Data Generation to Support Irregular Sampling in Sensor Networks. In Proceedings of Geo Sensor Network 2003, Portland, Maine, USA, October 9-11, 2003.

9. Jerry Zhao, Ramesh Govindan, and Deborah Estrin. Computing Aggregates for Monitoring Wireless Sensor Networks. In Proceedings of the 1st IEEE International Workshop on Sensor Network Protocols and Applications (SNPA), Anchorage, Alaska, USA, May 11, 2003.

Extract from Wenwei's Collections, Thanks Wayne!

Server-Side Sensor Stream Processing

2008-05-27T03:47:00.000-07:00

1. Amol Deshpande, Suman Nath, Phillip B. Gibbons, and Srinivasan Seshan. Cache-and-Query for Wide Area Sensor Network. In Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, San Diego, California, USA, June 9-12, 2003, pp 503-514.

2. Moustafa A. Hammad, Walid G. Aref, and Ahmed K. Elmagarmid. Stream Window Join: Tracking Moving Objects in Sensor-Network Databases. In Proceedings of the 15th International Conference on Scientific and Statistical Database Management (SSDBM), Cambridge, Massachusetts, USA, July 9-11, 2003, pp 75-84.

3. Samuel Madden and Michael J. Franklin. Fjording the Stream: An Architecture for Queries over Streaming Sensor Data. In Proceedings of the 18th International Conference on Data Engineering (ICDE), San Jose, CA, USA, February 26-March 1, 2002, pp 555-566.

Extract from Wenwei's Collections, Thanks Wayne!

Data-Centric Storage

2008-05-27T03:42:00.000-07:00

Ramakrishna Gummadi, Xin Li, Ramesh Govindan, Cyrus Shahabi, and Wei Hong. Energy-efficient Data Organization and Query Processing in Sensor Networks. In Proceedings of the 21st International Conference on Data Engineering (ICDE), Tokyo, Japan, April 5-8, 2005, pp 157-158.
Xin Li, Young Jin Kim, Ramesh Govindan, and Wei Hong. Multi-dimensional Range Queries in Sensor Networks. In Proceedings of the 1st International Conference on Embedded Networked Sensor Systems (SenSys), Los Angeles, California, USA, November 5-7, 2003, pp 63-75.

Extract from Wenwei's Collections, Thanks Wayne!

In-Network Join

2008-05-27T03:39:00.000-07:00

1. Daniel J. Abadi, Samuel Madden, and Wolfgang Lindner. REED: Robust, Efficient Filtering and Event Detection in Sensor Networks. In Proceedings of the 31st International Conference of Very Large Data Bases (VLDB), Trondheim, Norway, August 30 - September 2, 2005.

2. Boris Jan Bonfils and Philippe Bonnet. Adaptive and Decentralized Operator Placement for In-Network Query Processing. In Proceedings of the 2nd International Workshop on Information Processing in Sensor Networks (IPSN), Palo Alto, California, USA, April 22-23, 2003, pp 47-62.

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3. Jonathan Beaver, Mohamed A. Sharaf, Alexandros Labrinidis, and Panos K. Chrysanthis. Power-Aware In-Network Query Processing for Sensor Data. In Proceedings of the 2nd Hellenic Data Management Symposium (HDMS), Athens, Hellas, September 4-5, 2003, pp 1-17.

4. Mohamed A. Sharaf, Jonathan Beaver, Alexandros Labrinidis, and Panos K. Chrysanthis. Balancing Energy Efficiency and Quality of Aggregate Data in Sensor Networks. VLDB Journal, Vol. 13, No. 4, December 2004, pp 384-403.

Extract from Wenwei's Collections, Thanks Wayne!

SKETCH-Based Aggregation

2008-05-27T03:37:00.000-07:00

Jeffrey Considine, Feifei Li, George Kollios, and John Byers. Approximate Aggregation Techniques for Sensor Databases. In Proceedings of the 20th International Conference on Data Engineering (ICDE), Boston, Massachusetts, USA, March 30-April 2, 2004, pp 449-460.
Amit Manjhi, Suman Nath, and Phillip B. Gibbons. Tributaries and Deltas: Efficient and Robust Aggregation in Sensor Network Streams. In Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, Baltimore, Maryland, USA, June 14-16, 2005.
Suman Nath, Phillip B. Gibbons, Srinivasan Seshan, and Zachary R. Anderson. Synopsis Diffusion for Robust Aggregation in Sensor Networks. In Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems (SenSys), Baltimore, India, November 3-4, 2004, pp 250-262.

Model-Driven Data Acquisition

2008-05-27T03:32:00.000-07:00

Antonios Deligiannakis, Yannis Kotidis, and Nick Roussopoulos. Compressing Historical Information in Sensor Networks. In Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data, Paris, France, June 13-18, 2004, pp 527-538.
Amol Deshpande, Carlos Guestrin, Wei Hong and Samuel Madden. Exploiting Correlated Attributes in Acquisitional Query Processing. In Proceedings of the 21st International Conference on Data Engineering (ICDE), Tokyo, Japan, April 5-8, 2005.
Amol Deshpande, Carlos Guestrin, and Samuel Madden. Model-Driven Data Acquisition in Sensor Networks. In Proceedings of the 30th International Conference on Very Large Data Bases (VLDB), Toronto, Canada, August 31-September 3,2004, pp 588-599.
Amol Deshpande, Carlos Guestrin, and Samuel Madden. Using Probabilistic Models for Data Management in Acquisitional Environments. In Proceedings of the 2nd Biennial Conference on Innovative Data Systems Research (CIDR), Asilomar, California, USA, January 5-8, 2005.
Carlos Guestrin, Peter Bodik, Romain Thibaux, Mark Paskin, and Samuel Madden. Distributed Regression: an Efficient Framework for Modeling Sensor Network Data. In Proceedings of the 3rd International Workshop on Information Processing in Sensor Networks (IPSN), Berkeley, California, USA, April 26-27, 2004, pp 1-10.
Yannis Kotidis. Snapshot Queries: Towards Data-Centric Sensor Networks. In Proceedings of the 21st International Conference on Data Engineering (ICDE), Tokyo, Japan, April 5-8, 2005, pp 131-142.
Iosif Lazaridis and Sharad Mehrotra. Capturing Sensor-Generated Time Series with Quality Guarantees. In Proceedings of the 19th International Conference on Data Engineering (ICDE), Bangalore, India, March 5-8, 2003, pp 429-440.
Mark A. Paskin and Carlos E. Guestrin. Robust Probabilistic Inference in Distributed Systems. In Proceedings of the 20th International Conference on Uncertainty in Artificial Intelligence (UAI), Banff, Canada, July 7-11, 2004, pp 436-445.
Adam Silberstein, Rebecca Braynard, Carla Ellis, Kamesh Munagala, and Jun Yang. A Sampling-Based Approach to Optimizing Top-k Queries in Sensor Networks. In Proceedings of the 22nd International Conference on Data Engineering (ICDE), Atlanta, Georgia, USA, April 3-7, 2006.

Extract from Wenwei's Collections, Thanks Wayne!

SENSORS DATABASE

2008-05-27T02:46:00.000-07:00

Reading List on Wireless Sensor Networks - Sensor Databases - TinyDB

1. Joseph M. Hellerstein, Wei Hong, Samuel Madden, and Kyle Stanek. Beyond Average: Towards Sophisticated Sensing with Queries. In Proceedings of the 2nd International Conference on Information Processing in Sensor Networks (IPSN), Palo Alto, California, USA, April 22-23, 2003, pp 63-79.

2. Joseph M. Hellerstein, Samuel Madden, and Wei Hong. The Sensor Spectrum: Technology, Trends, and Requirements. SIGMOD Record, Vol. 32, No. 4, December 2003, pp 22-27.

3. Samuel Madden. Query Processing for Streaming Sensor Data. PhD Qualifying Exam Proposal, UC Berkeley, May 2002.

4. Samuel Madden. The Design and Evaluation of a Query Processing Architecture for Sensor Networks. PhD Thesis, UC Berkeley, Fall 2003.

5. Samuel Madden, Michael J. Franklin, Joseph M. Hellerstein, and Wei Hong. TAG: a Tiny Aggregation Service for Ad-Hoc Sensor Networks. In Proceedings of the 5th Symposium on Operating System Design and Implementation (OSDI), Boston, Massachusetts, USA, December 9-11, 2002, pp 131-146.

6. Samuel Madden, Michael J. Franklin, Joseph M. Hellerstein, and Wei Hong. The Design of an Acquisitional Query Processor for Sensor Networks. In Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, San Diego, California, USA, June 9-12, 2003, pp 491-502.

7. Samuel Madden, Michael J. Franklin, Joseph M. Hellerstein, and Wei Hong. TinyDB: an Acquisitional Query Processing System for Sensor Networks. ACM Transactions on Database Systems (TODS), Vol. 30, No. 1, March 2005, pp 122-173.

8. Sam Madden, Joseph Hellerstein, and Wei Hong. TinyDB: In-Network Query Processing in Tiny OS. Version 0.4, September 2003.

9. Samuel Madden, Robert Szewczyk, Michael J. Franklin, and David Culler. Supporting Aggregate Queries Over Ad-Hoc Wireless Sensor Networks. In Proceedings of the 4th IEEE Workshop on Mobile Computing and Systems Applications (WMCSA), Callicoon, New York, June 20 - 21, 2002, pp 49-58.

10. Eugene Shvets. Extending TinyDB: Creating Custom Aggregates. Version 1.0, May 2003. Cougar

11. Philippe Bonnet, Johannes Gehrke, Tobias Mayr, and Praveen Seshadri. Query Processing in a Device Database System. Technical Report TR99-1775, Cornell University, 1999.

12. Philippe Bonnet, Johannes Gehrke, and Praveen Seshadri. Querying the Physical World. IEEE Personal Communications, Special Issue on Smart Spaces and Environments, Vol. 7, No. 5, October 2000, pp 10-15.

13. Philippe Bonnet, Johannes Gehrke, and Praveen Seshadri. Towards Sensor Database Systems. In Proceedings of the 2nd International Conference on Mobile Data Management (MDM), Hong Kong, China, January 8-10, 2001, pp 3-14 .

14. Philippe Bonnet and Praveen Seshadri. Device Database Systems. In Proceedings of the 16th International Conference on Data Engineering (ICDE), San Diego, California, USA, February 28-March 3, 2000, pp 194.

15. Yong Yao and Johannes Gehrke. The Cougar Approach to In-Network Query Processing in Sensor Networks. SIGMOD Record, Vol. 31, No. 3, September 2002, pp 9-18.

16. Yong Yao and Johannes Gehrke. Query Processing for Sensor Networks. In Proceedings of the 1st Biennial Conference on Innovative Data Systems Research (CIDR), Asilomar, California, USA, January 5-8, 2003.

Extract from Wenwei's Collections, Thanks Wayne!