Two-swarm cooperative artificial fish algorithm for bound constrained global optimization
This study presents a new two-swarm cooperative fish intelligence algorithm for solving the bound constrained global optimization problem. The master population is moved by a Lévy distribution and cooperates with the training population that follows mainly the classical fish behaviors. Some numerical...
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| Outros Autores: | , |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2014
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/1822/30788 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/30788 |
| Resumo: | This study presents a new two-swarm cooperative fish intelligence algorithm for solving the bound constrained global optimization problem. The master population is moved by a Lévy distribution and cooperates with the training population that follows mainly the classical fish behaviors. Some numerical experiments are reported. |
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