References
- Metropolis , N. , Rosenbluth , A. , Rosenbluth , Teller , A. and Teller , E. 1953 . Equations of state calculation by fast computing machines . Journal of Chemical Physics , 21 : 1087 – 1092 .
- Holland , J. H. 1975 . Adaptation in Natural and Artificial Systems , Ann Arbor, MI : University of Michigan Press .
- Holland , J. H. 1989 . Searching nonlinear functions for high values . Applied Mathematics and Computation , 32 : 255 – 274 .
- Eberhart , R. C. and Shi , Y. 1998 . “ Comparison between Genetic Algorithm and Particle Swarm Optimization ” . In Evolutionary Programming VII (1998) , 611 – 616 . Springer . Lecture Notes in Computer Science 1447
- Sun , J. , Feng , B. and Xu , W. B. Particle swarm optimization with particles having quantum behavior . Proceedings of the 2004 Congress on Evolutionary Computation . pp. 325 – 331 .
- Sun , J. , Xu , W. B. and Feng , B. A global search strategy of quantum-behaved particle swarm optimization . Proceedings of the 2004 IEEE Conference on Cybernetics and Intelligent Systems . pp. 111 – 116 .
- van den Bergh , F. 2001 . “ An analysis of particle swarm optimizers ” . University of Pretoria . PhD Thesis
- Kennedy , J. and Eberhart , R. C. Particle swarm optimization . Proceedings of the IEEE 1995 International Conference on Neural Networks . Vol. 4 , pp. 1942 – 1948 .
- Angeline , P. J. Using selection to improve particle swarm optimization . Proceedings of the 1998 IEEE International Conference on Evolutionary Computation . pp. 84 – 89 .
- Shi , Y. and Eberhart , R. C. A modified particle swarm . Proceedings of the 1998 IEEE International Conference on Evolutionary Computation . pp. 1945 – 1950 .
- Shi , Y. and Eberhart , R. Empirical study of particle swarm optimization . Proceedings of the 1999 Congress on Evolutionary Computation . pp. 1945 – 1950 .
- Clerc , M. The swarm and queen: towards a deterministic and adaptive particle swarm optimization . Proceedings of the 1999 Congress on Evolutionary Computation . pp. 1951 – 1957 .
- Suganthan , P. N. Particle swarm optimizer with neighborhood operator . Proceedings of the 1999 Congress on Evolutionary Computation . pp. 1958 – 1962 .
- Angeline , P. J. 1998 . “ Evolutionary optimization versus particle swarm optimization: philosophy and performance differences ” . In Evolutionary Programming VII, Lecture Notes in Computer Science 1447 , 601 – 610 . Berlin : Springer .
- van den Bergh , F. and Engelbrecht , A. P. A new locally convergent particle swarm optimizer. In: . Proceedings of the 2002 IEEE International Conference on Systems, Man and Cybernetics .
- Clerc , M. and Kennedy , J. 2002 . The particle swarm: explosion, stability, and convergence in a multi-dimensional complex space . IEEE Transactions on Evolutionary Computation , 6 : 58 – 73 .
- Michalewicz , Z. and Schoenauer , M. 1996 . Evolutionary algorithms for constrained parameter optimization problems . Evolutionary Computation , 4 : 1 – 32 .
- Parsopoulos , K. E. and Vrahatis , M. N. 2002 . “ Particle swarm optimization method for constrained optimization problems ” . In Intelligent Technologies: Theory and Application , Edited by: Sincák , P. , Kvasnicka , V. , Vascák , J. and Pospíchal , J. Vol. 76 , 214 – 220 . Amsterdam : IOS Press . Frontiers in Artificial Intelligence and Applications
- Ray , T. and Liew , K. M. A Swarm with an effective information sharing mechanism for unconstrained and constrained single objective optimization problem . Proceedings of the 2001 IEEE Congress on Evolutionary Computation . pp. 75 – 80 .