A memetic PSO algorithm for scalar optimization problems

Proceedings of the 2007 IEEE Swarm Intelligence Symposium, SIS 2007

Volumn , Issue , 2007, Pages 128-134

  Schütze, Oliver ^a   Talbi, El Ghazali ^a   Coello, Carlos Coello ^b   Santana Quintero, Luis Vicente ^b   Pulido, Gregorio Toscano ^c  

^a INRIA   (France)

^b DEPARTAMENTO DE FÍSICA   (Mexico)

^c UNIVERSIDAD AUTÓNOMA DE NUEVO LEÓN   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

GLOBAL OPTIMIZATION; NUMERICAL METHODS; PROBLEM SOLVING; SEARCH ENGINES;

CONTINUOUS OPTIMIZATION; MEMETIC PSO ALGORITHMS; PARTICLE SWARM OPTIMIZATION; SCALAR OPTIMIZATION PROBLEMS;

ALGORITHMS;

EID: 34548777633     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIS.2007.368036     Document Type: Conference Paper

References (19)

1. E. L. Allgower and K. Georg. Numerical Continuation Methods. Springer, 1990.
2. L. Armijo. Minimization of functions having Lipschitz-continuous first partial derivatives. Pacific Journal of Mathematics. 16:1-3. 1966.
3. H.-G. Beyer. Toward a theoty of evolution strategies: The (μ,λ)-theory. Evolutionary Computation. 2 (4):381-407. 1994.
4. Carlos A. Coello Coello, Gregorio Toscano Pulido, and Maximino Salazar Lechuga. Handling Multiple Objectives With Particle Swarm Optimization. IEEE Transactions on Evolutionary Computation, 8(3):256-279, June 2004.
5. Kalyanmoy Deb, Ashish Anand, and Dhiraj Joshi. A computationally efficient evolutionary algorithm for real-parameter optimization. Evolutionary Compulation, 10(4):371-395, 2002.
6. J.E. Dennis and R.B. Schnabel. Numerical Methods for Unconstrained Optimization and Nonlinear Equations. Prentice-Hall, 1983.
7. David B. Fogel. Evolutionary Computation: The Fossil Record. Wiley-IEEE Press. 1998.
8. Ashish Ghosh and Shigeyoshi Tsutsui, editors. Advances in Evolutionary Computing (Theory and Applications). Springer-Verlag, Berlin, 2003. ISBN 3-540-43330-9.
9. A. Ghozeil and D. B. Fogel. A preliminary investigation into directed mutation in evolutionary algorithms. In H.-M. Voigt, W. Ebeling, 1. Rechenberg, and H.-P. Schwefel, editors, Parallel Problem Solving from Nature - PPSN IV, pages 329-335. Springer, Berlin. 1996.
10. W. E. Hart. Evolutionary pattern search algorithms for unconstrained and linearly constrained optimization. Evolutionary Computation, 5:388-397, August 2001.
11. Terry Jones. Crossover, macromutation, and population-based search. In Lany Eshelman, editor, Proceedings of the Sixth International Conference on Genetic Algorithms, pages 73-80, San Francisco, CA, 1995. Morgan Kaufmann.
12. J. Kennedy and R. Eberhart. Particle swarm optimization. In Proceedings of the IEEE International Conference on Neural Networks, Perth, Australia, pages 1942-1948. IEEE Service Center, Piscataway, NJ, 1996.
13. Manuel Lozano, Francisco Herrera, Natalio Krasnogor, and Daniel Molina. Real-coded memetic algorithms with crossover hill-climbing. Evolutionary Computation, 12(3):273-302. September 2004.
14. M. Mitchell. J. Holland, and S. Forrest. When will a genetic algorithm outperform hill climbing? In J. Cowan, G. Tesauro, and J. Alspector, editors. Advances in Neural Information Processing Systems 6, pages 51-58. Morgan Kaufman. San Mateo. CA. 1994.
15. Pablo Moscato. On evolution, search, optimization, genetic algorithms and martial arts: Towards memetic algorithms. Technical Report C3P 826, California Institute of Technology. Pasadena. CA. 1989.
16. Una-May O'Reilly and Franz Oppacher. Hybridized crossover-based search techniques for program discovery. In Proceedings of the 1995 World Conference on Evolutionary Computation, volume 2. pages 573-578, Perth, Australia, 29 - 1 1995. IEEE Press.
17. Hiroshi Satoh, Masayuki Yamamura, and Shigenobu Kobayashi. Minimal generation gap model for gas considering both exploration and exploitation. In lizuka '96, volume 2, pages 494-497, Fukuoka. Japan. 1996.
18. O. Schütze, A. Dell'Aere, and M. Dellnitz. On continuation methods for the numerical treatment of multi-objective optimization problems. In Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, and Ralph E. Steuer, editors, Practical Approaches to Multi-Objective Optimization, number 04461 in Dagstuhl Seminar Proceedings. Internationales Begegnungsund Forschungszentrum (IBFl), Schloss Dagstuhl, Germany, 2005. 〈http://drops. dagstuhl.de/opus/volltexte/2005/349〉.
19. Xin Yao, Yong Liu, and Guangming Liu. Evolutionary programming made faster. IEEE Trans. on Evolutionary Computation, 3(2):82-102, 1999.