Particle Swarm Optimization Bibliography

· Carlisle, A., and Dozier, G. (2001). An off-the-shelf PSO. Proceedings of the Workshop on Particle Swarm Optimization. Indianapolis, IN: Purdue School of Engineering and Technology, IUPUI (in press).

· Clerc, M. (1999). The swarm and the queen: towards a deterministic and adaptive particle swarm optimization. Proc. 1999 Congress on Evolutionary Computation, Washington, DC, pp 1951-1957. Piscataway, NJ: IEEE Service Center.

· Eberhart, R. C., and Hu, X. (1999). Human tremor analysis using particle swarm optimization. Proc. Congress on Evolutionary Computation 1999, Washington, DC, pp 1927–1930. Piscataway, NJ: IEEE Service Center.

· Eberhart, R. C., and Kennedy, J. (1995). A new optimizer using particle swarm theory. Proceedings of the Sixth International Symposium on Micro Machine and Human Science, Nagoya, Japan, 39-43. Piscataway, NJ: IEEE Service Center.

· Eberhart, R. C., Simpson, P. K., and Dobbins, R. W. (1996). Computational Intelligence PC Tools. Boston, MA: Academic Press Professional.

· Eberhart, R. C., and Shi, Y. (1998)(a). Evolving artificial neural networks. Proc. 1998 Int’l. Conf. on Neural Networks and Brain, Beijing, P.R.C., PL5-PL13.

· Eberhart, R. C. and Shi, Y. (1998)(b). Comparison between genetic algorithms and particle swarm optimization. In V. W. Porto, N. Saravanan, D. Waagen, and A. E. Eiben, Eds. Evolutionary Programming VII: Proc. 7^th Ann. Conf. on Evolutionary Programming Conf., San Diego, CA. Berlin: Springer-Verlag.

· Eberhart, R. C., and Shi, Y. (2000). Comparing inertia weights and constriction factors in particle swarm optimization. Proc. Congress on Evolutionary Computation 2000, San Diego, CA, pp 84-88.

· Eberhart, R. C., and Shi, Y. (2001)(a). Tracking and optimizing dynamic systems with particle swarms. Proc. Congress on Evolutionary Computation 2001, Seoul, Korea. Piscataway, NJ: IEEE Service Center. (in press)

· Eberhart, R. C., and Shi, Y. (2001)(b). Particle swarm optimization: developments, applications and resources. Proc. Congress on Evolutionary Computation 2001, Seoul, Korea. Piscataway, NJ: IEEE Service Center. (in press)

· Fan, H.-Y., and Shi, Y. (2001). Study of Vmax of the particle swarm optimization algorithm. Proceedings of the Workshop on Particle Swarm Optimization. Indianapolis, IN: Purdue School of Engineering and Technology, IUPUI (in press).

· Fukuyama Y., Yoshida, H. (2001). A Particle Swarm Optimization for Reactive Power and Voltage Control in Electric Power Systems, Proc. Congress on Evolutionary Computation 2001, Seoul, Korea. Piscataway, NJ: IEEE Service Center. (in press)

· He, Z.,Wei, C., Yang, L., Gao, X., Yao, S., Eberhart, R., and Shi, Y. (1998). Extracting rules from fuzzy neural network by particle swarm optimization, Proc. IEEE International Conference on Evolutionary Computation, Anchorage, Alaska, USA

· Kennedy, J. (1997). The particle swarm: social adaptation of knowledge. Proc. Intl. Conf. on Evolutionary Computation, Indianapolis, IN, 303-308. Piscataway, NJ: IEEE Service Center.

· Kennedy, J. (1998). Methods of agreement: inference among the eleMentals. Proc. 1998 Intl. Symp. on Intelligent Control. Piscataway, NJ: IEEE Service Center.

· Kennedy, J. (1998). The behavior of particles. In V. W. Porto, N. Saravanan, D. Waagen, and A. E. Eiben, Eds. Evolutionary Programming VII: Proc. 7^th Ann. Conf. on Evolutionary Programming Conf., San Diego, CA, 581–589. Berlin: Springer-Verlag.

· Kennedy, J. (1998). Thinking is social: experiments with the adaptive culture model. Journal of Conflict Resolution. 42(1), 56–76.

· Kennedy, J. (1999). Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance. Proc. Congress on Evolutionary Computation 1999, 1931–1938. Piscataway, NJ: IEEE Service Center.

• Kennedy, J. (2000). Stereotyping: improving particle swarm performance with cluster analysis. Proc. of the 2000 Congress on Evolutionary Computation, San Diego, CA. Piscataway, NJ: IEEE Press.
• Kennedy, J. (2001). Out of the computer, into the world: externalizing the particle swarm. Proceedings of the Workshop on Particle Swarm Optimization. Indianapolis, IN: Purdue School of Engineering and Technology, IUPUI (in press).

· Kennedy, J. and Eberhart, R. C. (1995). Particle swarm optimization. Proc. IEEE Int'l. Conf. on Neural Networks, IV, 1942–1948. Piscataway, NJ: IEEE Service Center.

· Kennedy, J. and Eberhart, R. C. (1997). A discrete binary version of the particle swarm algorithm. Proc. 1997 Conf. on Systems, Man, and Cybernetics, 4104–4109. Piscataway, NJ: IEEE Service Center.

• Kennedy, J., and Eberhart, R. C. (1999). The particle swarm: social adaptation in information processing systems. In Corne, D., Dorigo, M., and Glover, F., Eds., New Ideas in Optimization. London: McGraw-Hill.

· Kennedy, J., Eberhart, R. C., and Shi, Y. (2001). Swarm Intelligence, San Francisco: Morgan Kaufmann Publishers.

· Kennedy, J. and Spears, W. M. (1998). Matching algorithms to problems: an experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator. Proc. Intl. Conf. on Evolutionary Computation, 78–83. Piscataway, NJ: IEEE Service Center.

· Mohan, C. K., and Al-kazemi, B. (2001). Discrete particle swarm optimization. Proceedings of the Workshop on Particle Swarm Optimization. Indianapolis, IN: Purdue School of Engineering and Technology, IUPUI (in press).

• Naka, S., Grenji, T., Yura, T., Fukuyama, Y. (2001). Practical Distribution State Estimation Using Hybrid Particle Swarm Optimization, Proc. of IEEE PES Winter Meeting, Columbus, Ohio, USA.

· Ozcan, E., and Mohan, C. (1999). Particle swarm optimization: surfing the waves. Proc. 1999 Congress on Evolutionary Computation, 1939–1944. Piscataway, NJ: IEEE Service Center.

· Parsopoulos, K. E., Plagianakos, V. P., Magoulas, G. D. and Vrahatis, M. N. (2001). Stretching technique for obtaining global minimizers through particle swarm optimization. Proceedings of the Workshop on Particle Swarm Optimization. Indianapolis, IN: Purdue School of Engineering and Technology, IUPUI (in press).

· Secrest, B. R., and Lamont, G. B. (2001). Communication in particle swarm optimization illustrated by the traveling salesman problem. Proceedings of the Workshop on Particle Swarm Optimization. Indianapolis, IN: Purdue School of Engineering and Technology, IUPUI (in press).

· Shi, Y. and Eberhart, R. C. (1998a). Parameter selection in particle swarm optimization. In Evolutionary Programming VII: Proc. EP98, New York: Springer-Verlag, pp. 591-600.

· Shi, Y. and Eberhart, R. C. (1998b). A modified particle swarm optimizer. Proceedings of the IEEE International Conference on Evolutionary Computation, 69-73. Piscataway, NJ: IEEE Press.

· Shi, Y. and Eberhart, R. C. (1999). Empirical study of particle swarm optimization. Proceedings of the 1999 Congress on Evolutionary Computation, 1945–1950. Piscataway, NJ: IEEE Service Center.

· Shi, Y. and Eberhart, R., (2000). Experimental study of particle swarm optimization. Proc. SCI2000 Conference, Orlando, FL.

· Shi, Y. and Eberhart, R., (2001a). Fuzzy Adaptive Particle Swarm Optimization, Proc. Congress on Evolutionary Computation 2001, Seoul, Korea. Piscataway, NJ: IEEE Service Center. (in press)

· Shi, Y. and Eberhart, R., (2001b). Particle Swarm Optimization with Fuzzy Adaptive Inertia Weight, Proceedings of the Workshop on Particle Swarm Optimization. Indianapolis, IN: Purdue School of Engineering and Technology, IUPUI (in press).

· Suganthan, P. N. (1999). Particle swarm optimiser with neighbourhood operator. Proceedings of the 1999 Congress on Evolutionary Computation, 1958–1962. Piscataway, NJ: IEEE Service Center.

· Tandon, V. (2000). Closing the gap between CAD/CAM and optimized CNC end milling. Master's thesis, Purdue School of Engineering and Technology, Indiana University Purdue University Indianapolis.

• Yoshida, H., Kawata, K., Fukuyama, Y., and Nakanishi, Y. (1999). A particle swarm optimization for reactive power and voltage control considering voltage stability. In G. L. Torres and A. P. Alves da Silva, Eds., Proc. Intl. Conf. on Intelligent System Application to Power Systems, Rio de Janeiro, Brazil, 117–121.