Hybrid optimization coupling electromagnetism and descent search for engineering problems
In this paper, we present a new stochastic hybrid technique for constrained global optimization. It is a combination of the electromagnetism-like (EM) mechanism with an approximate descent search, which is a derivative-free procedure with high ability of producing a descent direction. Since the orig...
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| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2008
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| Texto completo: | http://hdl.handle.net/1822/9667 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/9667 |
| Resumo: | In this paper, we present a new stochastic hybrid technique for constrained global optimization. It is a combination of the electromagnetism-like (EM) mechanism with an approximate descent search, which is a derivative-free procedure with high ability of producing a descent direction. Since the original EM algorithm is specifically designed for solving bound constrained problems, the approach herein adopted for handling the constraints of the problem relies on a simple heuristic denoted by feasibility and dominance rules. The hybrid EM method is tested on four well-known engineering design problems and the numerical results demonstrate the effectiveness of the proposed approach. |
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