A constraint-handling mechanism for particle swarm optimization

Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004

Volumn 2, Issue , 2004, Pages 1396-1403

  Pulido, Gregorio Toscano ^a   Coello Coello, Carlos A ^a  

^a DEPARTAMENTO DE FÍSICA   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COSTS; CONSTRAINT-HANDLING; PARTICLE SWARM OPTIMIZATION; TURBULENCE OPERATORS;

COMPUTATIONAL METHODS; EVOLUTIONARY ALGORITHMS; FUNCTIONS; MATHEMATICAL OPERATORS; OPTIMIZATION; RANDOM PROCESSES;

COMPUTER SCIENCE;

EID: 4344693977     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. G. Coath and S. K. Halgamuge. A Comparison of Constraint-Handling Methods for the Application of Particle Swarm Optimization to Constrained Nonlinear Optimization Problems. In Proceedings of the Congress on Evolutionary Computation 2003 (CEC'2003), volume 4, pages 2419-2425, Piscataway, New Jersey, December 2003. Canberra, Australia, IEEE Service Center.
2. C. A. Coello Coello. Theoretical and Numerical Constraint Handling Techniques used with Evolutionary Algorithms: A Survey of the State of the Art. Computer Methods in Applied Mechanics and Engineering, 191(11-12):1245-1287, January 2002.
3. K. Deb and D. E. Goldberg. An Investigation of Niche and Species Formation in Genetic Function Optimization. In J. D. Schaffer, editor, Proceedings of the Third International Conference on Genetic Algorithms, pages 42-50, San Mateo, California, June 1989, George Mason University, Morgan Kaufmann Publishers.
4. J. E. Fieldsend and S. Singh. A Multi-Objective Algorithm based upon Particle Swarm Optimisation, an Efficient Data Structure and Turbulence. In Proceedings of the 2002 U.K. Workshop on Computational Intelligence, pages 37-44, Birmingham, UK, September 2002.
5. S. B. Hamida and M. Schoenauer. ASCHEA: New Results Using Adaptive Segregational Constraint Handling. In Proceedings of the Congress on Evolutionary Computation 2002 (CEC'2002), volume 1, pages 884-889, Piscataway, New Jersey, May 2002. IEEE Service Center.
6. X. Hu and R. Eberhart. Solving Constrained Nonlinear Optimization Problems with Particle Swarm Optimization. In Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2002), volume 5. Orlando, USA, HIS, July 2002.
7. X. Hu, R. C. Eberhart, and Y. Shi. Engineering Optimization with Particle Swarm. In Proceedings of the 2003 IEEE Swarm Intelligence Symposium, pages 53-57. Indianapolis, Indiana, USA, IEEE Service Center, April 2003.
8. J. Kennedy and R. C. Eberhart. Swarm Intelligence. Morgan Kaufmann, UK, 2001.
9. S. Koziel and Z. Michalewicz. Evolutionary Algorithms, Homomorphous Mappings, and Constrained Parameter Optimization. Evolutionary Computation, 7(1):19-44, 1999.
10. E. Mezura-Montes and C. A. Coello Coello. Adding a Diversity Mechanism to a Simple Evolution Strategy to Solve Constrained Optimization Problems. In Proceedings of the Congress on Evolutionary Computation 2003 (CEC'2003), volume 1, pages 6-13, Piscataway, New Jersey, December 2003. Canberra, Australia, IEEE Service Center.
11. Z. Michalewicz and D. B. Fogel. How to Solve It: Modern Heuristics. Springer, Berlin, 2000.
12. Z. Michalewicz and M. Schoenauer. Evolutionary Algorithms for Constrained Parameter Optimization Problems. Evolutionary Computation, 4(1):1-32, 1996.
13. U. Paquet and A. P. Engelbrecht. A New Particle Swarm Optimiser for Linearly Constrained Optimization. In Proceedings of the Congress on Evolutionary Computation 2003 (CEC'2003), volume 1, pages 227-233, Piscataway, New Jersey, December 2003. Canberra, Australia, IEEE Service Center.
14. K. Parsopoulos and M. Vrahatis. Particle Swarm Optimization Method for Constrained Optimization Problems. In P. Sincak, J.Vascak, V. Kvasnicka, and J. Pospicha, editors, Intelligent Technologies - Theory and Applications: New Trends in Intelligent Technologies, pages 214-220. IOS Press, 2002. Frontiers in Artificial Intelligence and Applications series, Vol. 76 ISBN: 1-58603-256-9.
15. J. T. Richardson, M. R. Palmer, G. Liepins, and M. Hilliard. Some Guidelines for Genetic Algorithms with Penalty Functions. In J. D. Schaffer, editor, Proceedings of the Third International Conference on Genetic Algorithms (ICGA-89), pages 191-197, San Mateo, California, June 1989. George Mason University, Morgan Kaufmann Publishers.
16. T. P. Runarsson and X. Yao. Stochastic Ranking for Constrained Evolutionary Optimization. IEEE Transactions on Evolutionary Computation, 4(3):284-294, September 2000.
17. Y. Shi and R. Eberhart. A Modified Particle Swarm Optimizer. In Proceedings of the IEEE International Conference on Evolutionary Computation, pages 69-73, Piscataway, NJ, 1998. IEEE Press.
18. G. Toscano Pulido and C. A. Coello Coello. The Micro Genetic Algorithm 2: Towards Online Adaptation in Evolutionary Multiobjective Optimization. In C. M. Fonseca, P. J. Fleming, E. Zitzler, K. Deb, and L. Thiele, editors, Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pages 252-266, Faro, Portugal, April 2003. Springer. Lecture Notes in Computer Science. Volume 2632.