Nonlinear continuous global optimization by modified differential evolution
The task of global optimization is to find a point where the objective function obtains its most extreme value. Differential evolution (DE) is a population-based heuristic approach that creates new candidate solutions by combining several points of the same population. The algorithm has three parame...
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| Outros Autores: | , |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2010
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/17117 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/17117 |