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ScientificWorldJournal. 2013 Nov 20;2013:125625. doi: 10.1155/2013/125625. eCollection 2013.

An effective hybrid firefly algorithm with harmony search for global numerical optimization.

Author information

  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.
  • 2School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, Jiangsu 221116, China.

Abstract

A hybrid metaheuristic approach by hybridizing harmony search (HS) and firefly algorithm (FA), namely, HS/FA, is proposed to solve function optimization. In HS/FA, the exploration of HS and the exploitation of FA are fully exerted, so HS/FA has a faster convergence speed than HS and FA. Also, top fireflies scheme is introduced to reduce running time, and HS is utilized to mutate between fireflies when updating fireflies. The HS/FA method is verified by various benchmarks. From the experiments, the implementation of HS/FA is better than the standard FA and other eight optimization methods.

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