Biogeography-based optimization for constrained optimization problems

Computers and Operations Research

Volumn 39, Issue 12, 2012, Pages 3293-3304

  Boussaïd, Ilhem ^a   Chatterjee, Amitava ^b   Siarry, Patrick ^c   Ahmed Nacer, Mohamed ^a  

^a UNIVERSITY OF SCIENCES AND TECHNOLOGY HOUARI BOUMEDIENE   (Algeria)

^b JADAVPUR UNIVERSITY   (India)

^c UNIVERSITÉ PARIS EST CRÉTEIL   (France)

Author keywords

Biogeography based optimization; Constrained optimization; Selection procedure

Indexed keywords

BENCHMARK FUNCTIONS; BIOGEOGRAPHY-BASED OPTIMIZATIONS; CONSTRAINED OPTIMIZATION PROBLEMS; EQUALITY CONSTRAINTS; OBJECTIVE FUNCTIONS; SELECTION PROCEDURES; STOCHASTIC OPTIMIZATION ALGORITHM; UNCONSTRAINED OPTIMIZATION PROBLEMS;

CONSTRAINED OPTIMIZATION; HEURISTIC ALGORITHMS;

PROBLEM SOLVING;

EID: 84863002831     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cor.2012.04.012     Document Type: Article

References (27)

1. Amirjanov A. The development of a changing range genetic algorithm. In: Computer methods in applied mechanics and engineering; 2006. p. c2495-508.
2. T. Back Evolutionary algorithms in theory and practice 1996 Oxford University Press Oxford, UK
3. Becerra RL, Coello Coello CA. Optimization with constraints using a cultured differential evolution approach. In: Proceedings of the 2005 conference on Genetic and evolutionary computation. GECCO 05. ACM, New York, NY, USA; 2005. p. 27-34. (Pubitemid 43226264)
4. I. Boussaïd, A. Chatterjee, P. Siarry, and M. Ahmed-Nacer Two-stage update biogeography-based optimization using differential evolution algorithm dbbo Computers & Operations Research 38 August 2011 1188 1198
5. Clerc M. Tribes - un exemple doptimisation par essaim particulaire sans paramètre de contrôle. In: Conférence OEP03. Paris, France; October 2003.
6. C. 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 (January) 2002 1245 1287 (Pubitemid 34099386)
7. C. Darwin Origin of species 1995 Gramercy New York, Gramercy, USA
8. K. Deb An efficient constraint handling method for genetic algorithm Computer Methods in Applied Mechanics and Engineering 186 October 2000 311 338
9. Du D, Simon D, Ergezer M. Biogeography-based optimization combined with evolutionary strategy and immigration refusal. In: SMC09: Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics. IEEE Press, Piscataway, NJ, USA; 2009. p. 997-1002.
10. Ergezer M, Simon D, Du D. Oppositional biogeography-based optimization. In: SMC09: Proceedings of the 2009 IEEE international conference on systems, man and cybernetics. IEEE Press, Piscataway, NJ, USA; 2009. p. 1009-14.
11. C.A. Floudas, and P.M. Pardalos A collection of test problems for constrained global optimization algorithms 1990 Springer-Verlag New York, Inc. New York, NY, USA
12. Gong W, Cai Z, Ling C. DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization. Soft Computing - A Fusion of Foundations, Methodologies and Applications; March 2010.
13. W. Gong, Z. Cai, C. Ling, and H. Li A real-coded biogeography-based optimization with mutation Applied Mathematics and Computation 216 9 2010 2749 2758
14. D. Himmelblau Applied Nonlinear Programming 1972 McGraw-Hill New York, USA
15. W. Hock, and K. Schittkowski Test examples for nonlinear programming codes 1981 Springer-Verlag New York, Inc. Secaucus, NJ, USA
16. S. Koziel, and Z. Michalewicz Evolutionary algorithms, homomorphous mappings, and constrained parameter optimization Evolution Computing 7 1 1999 19 44
17. H. Ma, and D. Simon Blended biogeography-based optimization for constrained optimization Engineering Applications of Artificial Intelligence 24 3 2011 517 525
18. R. MacArthur, and E. Wilson The theory of biogeography 1967 Princeton University Press Princeton, NJ
19. E. Mezura-Montes, and C.A.C. Coello A simple multimembered evolution strategy to solve constrained optimization problems IEEE Transactions on Evolutionary Computation 9 1 2005 1 17 (Pubitemid 40337296)
20. Michalewicz Z, Nazhiyath G, Michalewicz M. A note on usefulness of geometrical crossover for numerical optimization problems. In: Evolutionary programming; 1996. p. 305-12.
21. Z. Michalewicz, and M. Schoenauer Evolutionary algorithms for constrained parameter optimization problems Evolutionary Computation 4 1 1996 1 32 (Pubitemid 126707158)
22. K.V. Price, R.M. Storn, and J.A. Lampinen Differential evolution: a practical approach to global optimization. Natural computing series 2005 Springer-Verlag Berlin, Germany
23. Pulido GT, Coello CAC. A constraint-handling mechanism for particle swarm optimization. In: Congress on evolutionary computation, vol. 2; 2004. p. 1396-403.
24. T.P. Runarsson, and X. Yao Stochastic ranking for constrained evolutionary optimization IEEE Transactions on Evolutionary Computation 4 2000 284 294
25. D. Simon Biogeography-based optimization IEEE Transactions on Evolutionary Computation 12 2008 702 713
26. R.M. Storn, and K.V. Price Differential evolution: a simple and efficient heuristic for global optimization over continuous spaces Journal of Global Optimization 11 1997 341 359
27. A.R. Wallace The geographical distribution of animals two volumes 2005 Adamant Media Corporation Boston, MA