Multi-objective memetic algorithm : comparing artificial neural networks and pattern search filter method approaches
In this work, two methodologies to reduce the computation time of expensive multi-objective optimization problems are compared. These methodologies consist of the hybridization of a multi-objective evolutionary algorithm (MOEA) with local search procedures. First, an inverse artificial neural networ...
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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2011
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/14653 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/14653 |