title: An effective hybrid firefly algorithm with harmony search for global numerical optimization.
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.
authors.affiliation: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.
authors.forename: Lihong
authors.initials: L
authors.lastname: Guo
authors.affiliation: School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, Jiangsu 221116, China.
authors.forename: Gai-Ge
authors.initials: GG
authors.lastname: Wang
authors.affiliation: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.
authors.forename: Heqi
authors.initials: H
authors.lastname: Wang
authors.affiliation: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.
authors.forename: Dinan
authors.initials: D
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D008962:Models, Theoretical; D015203:Reproducibility of Results