A novel meta-heuristic optimization algorithm inspired by group hunting of animals: Hunting search

Computers and Mathematics with Applications

Volumn 60, Issue 7, 2010, Pages 2087-2098

  Oftadeh, R ^a   Mahjoob, M J ^a   Shariatpanahi, M ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Continuous optimization problems; Group hunting; Meta heuristic algorithm

Indexed keywords

CONTINUOUS OPTIMIZATION PROBLEMS; CONTINUOUS PROBLEMS; GROUP HUNTING; META HEURISTIC ALGORITHM; METAHEURISTIC; NUMERICAL OPTIMIZATIONS; OPTIMIZATION ALGORITHMS; OPTIMIZATION TECHNIQUES;

ANIMALS; EVOLUTIONARY ALGORITHMS; HEURISTIC ALGORITHMS; HEURISTIC METHODS;

CONSTRAINED OPTIMIZATION;

EID: 77957888627     PISSN: 08981221     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.camwa.2010.07.049     Document Type: Article

References (26)

1. L.J. Fogel, A.J. Owens, and M.J. Walsh Artificial Intelligence through Simulated Evolution 1966 John Wiley Chichester, UK
2. K. De Jong, Analysis of the behavior of a class of genetic adaptive systems, Ph.D. Thesis, University of Michigan, Ann Arbor, MI, 1975.
3. J.R. Koza, Genetic programming: a paradigm for genetically breeding populations of computer programs to solve problems, Rep. No. STAN-CS-90-1314, Stanford University, CA, 1990.
4. J.H. Holland Adaptation in Natural and Artificial Systems 1975 University of Michigan Press Ann Arbor, MI
5. D.E. Goldberg Genetic Algorithms in Search, Optimization and Machine Learning 1989 Addison Wesley Boston, MA
6. F. Glover Heuristic for integer programming using surrogate constraints Decis. Sci. 8 1 1977 156 166
7. S. Kirkpatrick, C. Gelatt, and M. Vecchi Optimization by simulated annealing Science 220 4598 1983 671 680
8. Z.W. Geem, J.H. Kim, and G.V. Loganathan A new heuristic optimization algorithm: harmony search Simulation 76 2 2001 60 68
9. K.S. Lee, and Z.W. Geem A new meta-heuristic algorithm for continues engineering optimization: harmony search theory and practice Comput. Methods Appl. Mech. Engrg. 194 2004 3902 3933
10. Zong Woo Geem Novel derivative of harmony search algorithm for discrete design variables Appl. Math. Comput. 199 2008 223 230
11. M. Mahdavi, M. Fesanghary, and E. Damangir An improved harmony search algorithm for solving optimization problems Appl. Math. Comput. 188 2007 1567 1579
12. Mahamed G.H. Omran, and Mehrdad Mahdavi Global-best harmony search Appl. Math. Comput. 198 2008 643 656
13. K. Deb An efficient constraint handling method for genetic algorithms Comput. Methods Appl. Mech. Engrg. 186 2000 311 338
14. R. Dawkins The Selfish Gene 1976 Oxford University Press Oxford
15. J. Kennedy, and R. Eberhart Particle swarm optimization Proceedings of the IEEE International Conference on Neural Networks Perth, Australia 1995 IEEE Service Center Piscataway, NJ 1942 1948
16. S.-Y. Liong, and Md. Atiquzzaman Optimal design of water distribution network using shuffled complex evolution J. Inst. Eng. Singap. 44 1 2004 93 107
17. Emad Elbeltagia, Tarek Hegazyb, and Donald Griersonb Comparison among five evolutionary-based optimization algorithms Adv. Eng. Inf. 19 2005 43 53
18. J. Dro, and P. Siarry Continuous interacting ant colony algorithm based on dense hierarchy Future Gener. Comput. Syst. 20 5 2004 841 856
19. Krzysztof Socha, and Marco Dorigo Ant colony optimization for continuous domains European J. Oper. Res. 185 2008 1155 1173
20. B. Bilchev, and I.C. Parmee The ant colony metaphor for searching continuous design spaces T.C. Fogarty, Proceedings of the AISB Workshop on Evolutionary Computation Lecture Notes in Comput. Sci. vol. 993 1995 Springer Berlin 25 39
21. N. Monmarch, G. Venturini, and M. Slimane On how pachycondyla apicalis ants suggest a new search algorithm Future Gener. Comput. Syst. 16 2000 937 946
22. J. Bracken, and G.P. McCormick Selected Applications of Nonlinear Programming 1968 John Wiley & Sons New York
23. A. Homaifar, S.H.-V. Lai, and X. Qi Constrained optimization via genetic algorithms Simulation 62 4 1994 242 254
24. D.B. Fogel A comparison of evolutionary programming and genetic algorithms on selected constrained optimization problems Simulation 64 6 1995 399 406
25. Z. Michalewicz Genetic algorithms, numerical optimization, and constraints L. Esheman, Proceedings of the Sixth International Conference on Genetic Algorithms 1995 Morgan Kauffman San Mateo 151 158
26. M. Fesanghary, M. Mahdavi, M. Minary-Jolandan, and Y. Alizadeh Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems Comput. Methods Appl. Mech. Engrg. 197 2008 3080 3091