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- W1796311476 abstract "Firefly optimization algorithm is one of the latest swarm intelligence based optimization algorithm. A new hybrid optimization algorithm, which combines pattern search with firefly algorithm, namely FAPS, is proposed for numerical global optimization. There are two alternative phases of the proposed algorithm: the global exploration phase realized by firefly algorithm and the exploitation phase completed by pattern search. The performance of the proposed FAPS algorithm was tested on a comprehensive set of benchmark functions. The numerical experiments demonstrate that the new algorithm has high viability, accuracy and stability and the performance of firefly algorithm is much improved by introducing a pattern search method." @default.
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- W1796311476 date "2013-01-01" @default.
- W1796311476 modified "2023-10-16" @default.
- W1796311476 title "Firefly Algorithm and Pattern Search Hybridized for Global Optimization" @default.
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- W1796311476 doi "https://doi.org/10.1007/978-3-642-39482-9_20" @default.
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