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Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm
Zou WP(邹文平); Zhu YL(朱云龙); Chen HN(陈瀚宁); Zhang BW(张北伟)
Department工业信息学研究室
Source PublicationDISCRETE DYNAMICS IN NATURE AND SOCIETY
ISSN1026-0226
2011
Issue0Pages:1-37
Indexed BySCI
WOS IDWOS:000298436100001
Contribution Rank1
Funding OrganizationThis work is supported by National Natural Science Foundation of China under nos. 61174164, 61003208, and 61105067.
KeywordParticle Swarm Optimizer Evolutionary Algorithms Genetic Algorithm Nsga
AbstractMultiobjective optimization has been a difficult problem and focus for research in fields of science and engineering. This paper presents a novel algorithm based on artificial bee colony (ABC) to deal with multi-objective optimization problems. ABC is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. It uses less control parameters, and it can be efficiently used for solving multimodal and multidimensional optimization problems. Our algorithm uses the concept of Pareto dominance to determine the flight direction of a bee, and it maintains nondominated solution vectors which have been found in an external archive. The proposed algorithm is validated using the standard test problems, and simulation results show that the proposed approach is highly competitive and can be considered a viable alternative to solve multi-objective optimization problems.
Language英语
WOS HeadingsScience & Technology ; Physical Sciences
WOS SubjectMathematics, Interdisciplinary Applications ; Multidisciplinary Sciences
WOS KeywordPARTICLE SWARM OPTIMIZER ; EVOLUTIONARY ALGORITHMS ; GENETIC ALGORITHM ; NSGA
WOS Research AreaMathematics ; Science & Technology - Other Topics
Citation statistics
Cited Times:35[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/7096
Collection工业信息学研究室
Affiliation1.Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Graduate School of the Chinese Academy of Sciences, Beijing 100039, China
Recommended Citation
GB/T 7714
Zou WP,Zhu YL,Chen HN,et al. Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm[J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY,2011(0):1-37.
APA Zou WP,Zhu YL,Chen HN,&Zhang BW.(2011).Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm.DISCRETE DYNAMICS IN NATURE AND SOCIETY(0),1-37.
MLA Zou WP,et al."Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm".DISCRETE DYNAMICS IN NATURE AND SOCIETY .0(2011):1-37.
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