Binary Particle Swarm Optimization in classification

Neural Network World

Volumn 15, Issue 3, 2005, Pages 229-241

  Cervantes, Alejandro ^a   Galván, Inés ^a   Isasi, Pedro ^a  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

Evolutionary computation; Particle swarm optimization; Pattern classification; Swarm intelligence

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONVERGENCE OF NUMERICAL METHODS; LEARNING SYSTEMS; OPTIMIZATION; PATTERN RECOGNITION; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING;

EVOLUTIONARY STRATEGIES; MACHINE LEARNING ALGORITHMS; PARTICLE SWARM OPTIMIZATION; SWARM INTELLIGENCE;

EVOLUTIONARY ALGORITHMS;

EID: 21644481072     PISSN: 12100552     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. Kennedy J., Eberhart R. C., Shi Y.: Swarm intelligence. Morgan Kaufmann Publishers, San Francisco, 2001.
2. Parsopoulos K. E., Vrahatis M. N.: Recent approaches to global optimization problems through particle swarm optimization. Natural Computing: an international journal, 1, (2-3), 2002, pp. 235-306.
3. Clerc M., Kennedy J.: The particle swarm - explosion, stability, and convergence in a multidimensional complex space. IEEE Trans. Evolutionary Computation, 6, 1, 2002, pp. 58-73.
4. Shi Y., Eberhart R. C.: Parameter selection in particle swarm optimization. In: Proceedings of the Seventh Annual Conference on Evolutionary Programming, 1998, pp. 591-600.
5. Shi Y., Eberhart R. C.: Empirical study of particle swarm optimization. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), 1999, pp. 1945-1950.
6. Kennedy J., Eberhart R. C.: A discrete binary version of the particle swarm algorithm. In: Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics, 1997, pp. 4104-4109.
7. Yoshida H., Kawata K., Fukuyama Y., Takayama S., Nakanishi Y.: A particle swarm optimization for reactive power and voltage control considering voltage security assessment. IEEE Transactions on Power Systems, 15, 4, 2000, pp. 1232-1239.
8. Zhang C., Shao H.: An ann's evolved by a new evolutionary system and its application. In: Proceedings of the 39th IEEE Conference on Decision and Control, 2000, pp. 3562-3563.
9. Gudise V. G., Venayagamoorthy G. K.: Comparison of particle swarm optimization and backpropagation as training algorithms for neural networks. In: Proceedings of the IEEE Swarm Intelligence Symposium (SIS), 2003, pp. 110-117.
10. Zhang L., Zhou C., Liu X., Ma Z., Ma M., Liang Y.: Solving multi objective optimization problems using particle swarm optimization. In: Proceedings of IEEE Congress on Evolutionary Computation 2003 (CEC 2003), 2003, pp. 2400-2405.
11. Sousa T., Silva A., Neves A.: Particle swarm based data mining algorithms for classification tasks. Parallel Comput., 30, 5-6, 2004, pp. 767-783.
12. De Jong K. A., Spears W. M.: Learning concept classification rules using genetic algorithms. In: Proceedings of the Twelfth International Conference on Artificial Intelligence (IJCAI), 2, 1991.
13. Thrun S. B., Bala J., Bloedorn E., Bratko I., Cestnik B., Cheng J., De Jong K., Džeroski S., Fahlman S. E., Fisher D., Hamann R., Kaufman K., Keller S., Kononenko I., Kreuziger J., Michalski R. S., Mitchell T., Pachowicz P., Reich Y., Vafaie H., Van de Weide W., Wenzel W., Wnek J., Zhang J.: The MONK's problems: A performance comparison of different learning algorithms. Technical Report CS-91-197, Pittsburgh, PA, 1991.