Conceptual comparison of population based metaheuristics for engineering problems

Scientific World Journal

Volumn 2015, Issue , 2015, Pages

  Adekanmbi, Oluwole ^a   Green, Paul ^a  

^a DURBAN UNIVERSITY OF TECHNOLOGY   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPRESSION; ENGINEERING; EVOLUTION; GENETIC ALGORITHM; METAHEURISTIC ALGORITHM;

EID: 84926434305     PISSN: 23566140     EISSN: 1537744X     Source Type: Journal    
DOI: 10.1155/2015/936106     Document Type: Article

References (32)

1. A. H. Gandomi, X.-S. Yang, and A. H. Alavi, "Mixed variable structural optimization using Firefly Algorithm", Computers & Structures, Vol. 89, no. 23-24, pp. 2325-2336, 2011.
2. R. Caballero, M. González, F. M. Guerrero, J. Molina, and C. Paralera, "Solving a multiobjective location routing problem with a metaheuristic based on tabu search. Application to a real case in Andalusia", European Journal of Operational Research, Vol. 177, no. 3, pp. 1751-1763, 2007.
3. A. Kaveh and S. Talatahari, "A novel heuristic optimization method: charged system search", Acta Mechanica, Vol. 213, no. 3-4, pp. 267-289, 2010.
4. O. Adekanmbi, O. Olugbara, and J. Adeyemo, "An investigation of generalized differential evolution metaheuristic for multi-objective optimal crop-mix planning decision", The Scientific World Journal, Vol. 2014, Article ID 258749, 9 pages, 2014.
5. F. Glover and G. A. Kochenberger, Handbook of Metaheuristics, Springer, 2003.
6. M. M. Atiqullah and S. S. Rao, "Simulated annealing and parallel processing: an implementation for constrained global design optimization", Engineering Optimization, Vol. 32, no. 5, pp. 659-685, 2000.
7. C. A. Coello Coello, "Use of a self-adaptive penalty approach for engineering optimization problems", Computers in Industry, Vol. 41, no. 2, pp. 113-127, 2000.
8. J. Zhang, C. Liang, Y. Huang, J. Wu, and S. Yang, "An effective multiagent evolutionary algorithm integrating a novel roulette inversion operator for engineering optimization", Applied Mathematics and Computation, Vol. 211, no. 2, pp. 392-416, 2009.
9. K. E. Parsopoulos and M. N. Vrahatis, "Unified particle swarm optimization for solving constrained engineering optimization problems", in Advances in Natural Computation, Vol. 3612 of Lecture Notes in Computer Science, pp. 582-591, Springer, Berlin, Germany, 2005.
10. K. Deb, "Optimal design of a welded beam via genetic algorithms", AIAA Journal, Vol. 29, no. 11, pp. 2013-2015, 1991.
11. J. P. B. Leite and B. H. V. Topping, "Improved genetic operators for structural engineering optimization", Advances in Engineering Software, Vol. 29, no. 7-9, pp. 529-562, 1998.
12. S. Akhtar, K. Tai, and T. Ray, "A socio-behavioral simulation model for engineering design optimization", Engineering Optimization, Vol. 34, no. 4, pp. 341-354, 2002.
13. T. Ray and K. M. Liew, "Society and civilization: an optimization algorithm based on the simulation of social behavior", IEEE Transactions on Evolutionary Computation, Vol. 7, no. 4, pp. 386-396, 2003.
14. A. C. C. Lemonge and H. J. C. Barbosa, "An adaptive penalty scheme for genetic algorithms in structural optimization", International Journal for Numerical Methods in Engineering, Vol. 59, no. 5, pp. 703-736, 2004.
15. S. He, E. Prempain, and Q. H. Wu, "An improved particle swarm optimizer for mechanical design optimization problems", Engineering Optimization, Vol. 36, no. 5, pp. 585-605, 2004.
16. K. S. Lee and Z. W. Geem, "A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice", Computer Methods in Applied Mechanics and Engineering, Vol. 194, no. 36-38, pp. 3902-3933, 2005.
17. A. R. Hedar and M. Fukushima, "Derivative-free filter simulated annealing method for constrained continuous global optimization", Journal of Global Optimization, Vol. 35, no. 4, pp. 521-549, 2006.
18. S.-F. Hwang and R.-S. He, "A hybrid real-parameter genetic algorithm for function optimization", Advanced Engineering Informatics, Vol. 20, no. 1, pp. 7-21, 2006.
19. H. S. Bernardino, H. J. C. Barbosa, and A. C. C. Lemonge, "A hybrid genetic algorithm for constrained optimization problems in mechanical engineering", in Proceedings of the IEEE Congress on Evolutionary Computation (CEC '07), pp. 646-653, IEEE, 2007.
20. M. Mahdavi, M. Fesanghary, and E. Damangir, "An improved harmony search algorithm for solving optimization problems", Applied Mathematics and Computation, Vol. 188, no. 2, pp. 1567-1579, 2007.
21. L. C. Cagnina, S. C. Esquivel, and C. A. Coello, "Solving engineering optimization problems with the simple constrained particle swarm optimizer", Informatica, Vol. 32, no. 3, pp. 319-326, 2008.
22. M. Fesanghary, M. Mahdavi, M. Minary-Jolandan, and Y. Alizadeh, "Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems", Computer Methods in Applied Mechanics and Engineering, Vol. 197, no. 33-40, pp. 3080-3091, 2008.
23. M. Zhang, W. Luo, and X. Wang, "Differential evolution with dynamic stochastic selection for constrained optimization", Information Sciences, Vol. 178, no. 15, pp. 3043-3074, 2008.
24. O. Hasanτebi, S. K. Azad, and O. Hasançebi, "An eficient metaheuristic algorithm for engineering optimization: SOPT", International Journal of Optimization in Civil Engineering, Vol. 2, no. 4, pp. 479-487, 2012.
25. J. Golinski, "An adaptive optimization system applied to machine synthesis", Mechanism and Machine Theory, Vol. 8, no. 4, pp. 419-436, 1973.
26. R. Storn and K. Price, "Differential evolution-a simple and eficient heuristic for global optimization over continuous spaces", Journal of Global Optimization, Vol. 11, no. 4, pp. 341-359, 1997.
27. V. L. Huang, A. K. Qin, and P. N. Suganthan, "Self-adaptive differential evolution algorithm in constrained real-parameter optimization", in Proceedings of the IEEE Congress on Evolutionary Computation (CEC '06), pp. 215-222, Vancouver, Canada, July 2006.
28. K. Suresh, D. Kundu, S. Ghosh, S. Das, and A. Abraham, "Data clustering using multi-objective differential evolution algorithms", Fundamenta Informaticae, Vol. 97, no. 4, pp. 381-403, 2009.
29. S. Kukkonen and J. Lampinen, "Generalized differential evolution for general non-linear optimization", in COMPSTAT 2008, pp. 459-471, Springer, 2008.
30. J. Rönkkönen, S. Kukkonen, and J. Lampinen, "A comparison of differential evolution and generalized generation gap model", Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 9, no. 5, pp. 549-555, 2005.
31. S. Kukkonen and J. Lampinen, "GDE3: the third evolution step of generalized differential evolution", in Proceedings of the IEEE Congress on Evolutionary Computation (CEC '05), pp. 443-450, September 2005.
32. G. G. Dimopoulos, "Mixed-variable engineering optimization based on evolutionary and social metaphors", Computer Methods in Applied Mechanics and Engineering, Vol. 196, no. 4, pp. 803-817, 2007.