An Effective Hybrid Firefly Algorithm with Harmony Search for Global Numerical Optimization

An Effective Hybrid Firefly Algorithm with Harmony Search for Global Numerical Optimization

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 fi...

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Main Authors: Lihong Guo, Gai-Ge Wang, Heqi Wang, Dinan Wang
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/125625
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spelling doaj-2feac65c336744c6b5ac9096e38d23de2020-11-25T02:19:11ZengHindawi LimitedThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/125625125625An Effective Hybrid Firefly Algorithm with Harmony Search for Global Numerical OptimizationLihong Guo0Gai-Ge Wang1Heqi Wang2Dinan Wang3Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaSchool of Computer Science and Technology, Jiangsu Normal University, Xuzhou, Jiangsu 221116, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaA 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.http://dx.doi.org/10.1155/2013/125625
collection DOAJ
language English
format Article
sources DOAJ
author Lihong Guo
Gai-Ge Wang
Heqi Wang
Dinan Wang
spellingShingle Lihong Guo
Gai-Ge Wang
Heqi Wang
Dinan Wang
An Effective Hybrid Firefly Algorithm with Harmony Search for Global Numerical Optimization
The Scientific World Journal
author_facet Lihong Guo
Gai-Ge Wang
Heqi Wang
Dinan Wang
author_sort Lihong Guo
title An Effective Hybrid Firefly Algorithm with Harmony Search for Global Numerical Optimization
title_short An Effective Hybrid Firefly Algorithm with Harmony Search for Global Numerical Optimization
title_full An Effective Hybrid Firefly Algorithm with Harmony Search for Global Numerical Optimization
title_fullStr An Effective Hybrid Firefly Algorithm with Harmony Search for Global Numerical Optimization
title_full_unstemmed An Effective Hybrid Firefly Algorithm with Harmony Search for Global Numerical Optimization
title_sort effective hybrid firefly algorithm with harmony search for global numerical optimization
publisher Hindawi Limited
series The Scientific World Journal
issn 1537-744X
publishDate 2013-01-01
description 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.
url http://dx.doi.org/10.1155/2013/125625
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AT gaigewang effectivehybridfireflyalgorithmwithharmonysearchforglobalnumericaloptimization
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