Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/50105
Título: | On Challenging Techniques for Constrained Global Optimization |
Autor(es): | Espírito Santo, I. A. C. P. Costa, Lino Rocha, Ana Maria A. C. Azad, Md. Abul Kalam Fernandes, Edite Manuela da G. P. |
Data: | 18-Out-2013 |
Editora: | Springer Verlag |
Revista: | Intelligent Systems Reference Library |
Citação: | Santo, I. A. E., Costa, L., Rocha, A. M. A., Azad, M. A. K., & Fernandes, E. M. (2013). On challenging techniques for constrained global optimization. In Handbook of Optimization (pp. 641-671). Springer, Berlin, Heidelberg |
Resumo(s): | This chapter aims to address the challenging and demanding issue of solving a continuous nonlinear constrained global optimization problem. We propose four stochastic methods that rely on a population of points to diversify the search for a global solution: genetic algorithm, differential evolution, artificial fish swarm algorithm and electromagnetism-like mechanism. The performance of different variants of these algorithms is analyzed using a benchmark set of problems. Three different strategies to handle the equality and inequality constraints of the problem are addressed. An augmented Lagrangian-based technique, the tournament selection based on feasibility and dominance rules, and a strategy based on ranking objective and constraint violation are presented and tested. Numerical experiments are reported showing the effectiveness of our suggestions. Two well-known engineering design problems are successfully solved by the proposed methods. © Springer-Verlag Berlin Heidelberg 2013. |
Tipo: | Capítulo de livro |
URI: | https://hdl.handle.net/1822/50105 |
ISBN: | 978-3-642-30503-0 |
e-ISBN: | 978-3-642-30504-7 |
DOI: | 10.1007/978-3-642-30504-7_26 |
ISSN: | 1868-4394 |
Versão da editora: | https://link.springer.com/chapter/10.1007/978-3-642-30504-7_26 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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HO_iacpesanto_final.pdf | 331,65 kB | Adobe PDF | Ver/Abrir |