Genetic algorithm and particle swarm optimization combined with powell method

Bento, David; Pinho, Diana; Pereira, Ana I.; Lima, Rui A.

http://hdl.handle.net/10198/10368

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Resumo(s)

In recent years, the population algorithms are becoming increasingly robust and easy to use, based on Darwin’s Theory of Evolution, perform a search for the best solution around a population that will progress according to several generations. This paper present variants of hybrid genetic algorithm - Genetic Algorithm and a bio-inspired hybrid algorithm - Particle Swarm Optimization, both combined with the local method - Powell Method. The developed methods were tested with twelve test functions from unconstrained optimization context.

Palavras-chave

Genetic algorithm Global optimization Local optimization

URI

http://hdl.handle.net/10198/10368

Citação

Bento, David; Pinho, Diana; Pereira, Ana I.; Lima, R. (2013). Genetic algorithm and particle swarm optimization combined with powell method. In 11th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM). Melville: American Institute of Physics. p. 578-581. ISBN 978-0-7354-1185-2