Evolution strategies in optimization problems
Evolution strategies are inspired in biology and form part of a larger research field known as evolutionary algorithms. Those strategies perform a random search in the space of admissible functions, aiming to optimize some given objective function. We show that simple evolution strategies are a usef...
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2011
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| Texto completo: | http://hdl.handle.net/10773/4123 |
| País: | Portugal |
| Oai: | oai:ria.ua.pt:10773/4123 |
| Resumo: | Evolution strategies are inspired in biology and form part of a larger research field known as evolutionary algorithms. Those strategies perform a random search in the space of admissible functions, aiming to optimize some given objective function. We show that simple evolution strategies are a useful tool in optimal control, permitting one to obtain, in an efficient way, good approximations to the solutions of some recent and challenging optimal control problems. |
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