Hybridizing harmony search with biogeography based optimization for global numerical optimization

Journal of Computational and Theoretical Nanoscience

Volumn 10, Issue 10, 2013, Pages 2312-2322

  Wang, Gaige ^a,b   Guo, Lihong ^a   Duan, Hong ^c   Wang, Heqi ^a   Liu, Luo ^a,b   Shao, Mingzhen ^a,b  

^a CHANGCHUN INSTITUTE OF OPTICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c NORTHEAST NORMAL UNIVERSITY   (China)

Author keywords

Biogeography based optimization (BBO); Global optimization problem; Harmony search (HS); Multimodal function

Indexed keywords

BIOGEOGRAPHY-BASED OPTIMIZATIONS; BIOGEOGRAPHYBASED OPTIMIZATIONS (BBO); GLOBAL NUMERICAL OPTIMIZATIONS; GLOBAL OPTIMIZATION PROBLEMS; HARMONY SEARCH; META-HEURISTIC METHODS; MULTI MODAL FUNCTION; POPULATION-BASED OPTIMIZATION METHODS;

BENCHMARKING; ECOLOGY; HEURISTIC ALGORITHMS; HEURISTIC METHODS;

ANT COLONY OPTIMIZATION;

EID: 84886892281     PISSN: 15461955     EISSN: 15461963     Source Type: Journal    
DOI: 10.1166/jctn.2013.3207     Document Type: Article

References (46)

1. X. S. Yang, Nature-Inspired Metaheuristic Algorithms, 2nd edn., Luniver Press, Frome (2010).
2. H. Duan, W. Zhao, G. Wang, and X. Feng, Math. Probl. Eng. 2012, Article ID 712752, 22 (2012).
3. G. Wang, L. Guo, H. Duan, H. Wang, and L. Liu, Scientific World Journal 2012, Article ID 418946, 15 (2012).
4. G. Wang, L. Guo, H. Duan, H. Wang, L. Liu, and M. Shao, Scientific World Journal 2012, Article ID 583973, 11 (2012).
5. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, New York (1998).
6. C. Grosan and A. E. Hassanien, J. Comput. Theor. Nanosci. 9, 2 (2012).
7. R. Storn and K. Price, J. Global Optim. 11, 4 (1997).
8. A. H. Gandomi, X.-S. Yang, S. Talatahari, and S. Deb, Comput. Math. Appl. 63, 1 (2012).
9. A. Abraham, R. K. Jatoth, and A. Rajasekhar, J. Comput. Theor. Nanosci. 9, 2 (2012).
10. G. Wang, L. Guo, H. Duan, and H. Wang, J. Comput. Theor. Nanosci. (2013).
11. X.-S. Yang, S. S. Sadat Hosseini, and A. H. Gandomi, Appl. Soft Comput. 12, 3 (2012).
12. A. H. Gandomi, X.-S. Yang, and A. H. Alavi, Comput. Struct. 89, 23 (2011).
13. S. Talatahari, B. Farahmand Azar, R. Sheikholeslami, and A. H. Gandomi, Commun. Nonlinear Sci. Numer. Simulat. 17, 3 (2012).
14. A. Kaveh and S. Talatahari, Acta Mechanica, 213, 3 (2010).
15. S. Talatahari, R. Sheikholeslami, M. Shadfaran, and M. Pourbaba, Math. Probl. Eng. 2012 (2012).
16. S. Talatahari, X. S. Yang, R. Sheikholeslami, and A. H. Gandomi, J. Comput. Theor. Nanosci., in press.
17. J. Kennedy and R. Eberhart, Particle swarm optimization. Proceeding of the IEEE International Conference on Neural Networks, IEEE, Perth, Australia (1995).
18. F. Q. Xie, Y. J. Wang, C. Y. Hu, Z. Z. Zheng, and Q. M. Zhu, J. Comput. Theor. Nanosci. 9, 2 (2012).
19. Y. Zhang, D. Huang, M. Ji, and F. Xie, Expert Syst. Appl. 38, 7 (2011).
20. A. H. Gandomi, G. J. Yun, X.-S. Yang, and S. Talatahari, Commun. Nonlinear Sci. Numer. Simulat. 18, 2 (2013).
21. G. Wang, L. Guo, A. H. Gandomi, L. Cao, A. H. Alavi, H. Duan, and J. Li, Math. Probl. Eng. 2013, Article ID 682073, 14 (2013).
22. G. Wang, L. Guo, H. Duan, H. Wang, L. Liu, and J. Li, Neural Computing and Applications, in press, doi: 10.1007/s00521-012-1304-8.
23. A. H. Gandomi and A. H. Alavi, Commun. Nonlinear Sci. Numer. Simulat. 17, 12 (2012).
24. D. Simon, IEEE. T. Evolut. Comput. 12, 6 (2008).
25. G. Wang, L. Guo, H. Duan, L. Liu, H. Wang, and M. Shao, Adv. Sci. Eng. Med. 4, 6 (2012).
26. G. Wang, L. Guo, H. Duan, L. Liu, and H. Wang, J. Sens. Actuator Netw. 1, 2 (2012).
27. Z. W. Geem, J. H. Kim, and G. V. Loganathan, Simulation, 76, 2 (2001).
28. G. Wang and L. Guo, J. Appl. Math. 2013, Article ID 696491, 21 (2013).
29. C. Grosan, A. Abraham, and H. Ishibuchi, Hybrid Evolutionary Algorithms, Springer, Berlin, Germany (2009).
30. X.-S. Yang, Optimization Algorithms, Computational Optimization, Methods and Algorithms, edited by S. Koziel and X.-S. Yang, Springer-Verlag, Berlin, Heidelberg (2011), pp. 13-31.
31. M. V. Lomolino, B. R. Riddle, R. J. Whittaker, and J. H. Brown, Biogeography, Fourth edn., Sinauer Associates, Sunderland, MA (2010).
32. H. Beyer, The Theory of Evolution Strategies, Springer, New York (2001).
33. M. Dorigo and T. Stutzle, Ant Colony Optimization, MIT Press, Cambridge (2004).
34. X. S. Yang, J. Comput. Theor. Nanosci. 9, 2 (2012).
35. R. Storn and K. Price, Differential Evolution - A Simple and Efficient Adaptive Scheme for Global Optimization Over Continuous Spaces, International Computer Science Institute, Berkley (1995).
36. B. Shumeet, Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning, Carnegie Mellon University, Pittsburgh, PA (1994).
37. E. Talatahari, S. Talatahari, A. H. Gandomi, and X. S. Yang, J. Comput. Theor. Nanosci.
38. W. Khatib and P. Fleming, The stud GA: A mini revolution?, edited by A. Eiben, T. Back, M. Schoenauer, and H. Schwefel, Proc. 5th International Conference on Parallel Problem Solving from Nature, Springer-Verlag, New York, USA (1998).
39. X. Yao, Y. Liu, and G. Lin, IEEE. T. Evolut. Comput. 3, 2 (1999).
40. M. M. Ali, C. Khompatraporn, and Z. B. Zabinsky, J. Global Optim. 31, 4 (2005).
41. K. Tang, X. Li, P. N. Suganthan, Z. Yang, and T. Weise, Benchmark functions for the CEC'2010 special session and competition on large scale global optimization, Hefei, China, Nature Inspired Computation and Applications Laboratory, USTC (2010).
42. R. Mallipeddi and P. Suganthan, Problem definitions and evaluation criteria for the CEC 2010 Competition on Constrained Real-Parameter Optimization, Nanyang Technological University, Singapore (2010).
43. T. Ono, Y. Fujimoto, and S. Tsukamoto, Quantum Matter 1, 1 (2012).
44. V. Sajfert, P. Mali, N. Bednar, N. Pop, D. Popov, and B. Tosic, Quantum Matter 1, 2 (2012).
45. N. Paitya, S. Bhattacharya, D. De, and K. Ghatak, Quantum Matter 1, 1 (2012).
46. M. Narayanan and A. J. Peter, Quantum Matter 1, 1 (2012).