Knowledge Management System of Shenyang Institute of Automation, CAS
Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm | |
Zou WP(邹文平); Zhu YL(朱云龙)![]() | |
Department | 工业信息学研究室 |
Source Publication | DISCRETE DYNAMICS IN NATURE AND SOCIETY
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ISSN | 1026-0226 |
2011 | |
Issue | 0Pages:1-37 |
Indexed By | SCI |
WOS ID | WOS:000298436100001 |
Contribution Rank | 1 |
Funding Organization | This work is supported by National Natural Science Foundation of China under nos. 61174164, 61003208, and 61105067. |
Keyword | Particle Swarm Optimizer Evolutionary Algorithms Genetic Algorithm Nsga |
Abstract | Multiobjective 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 Headings | Science & Technology ; Physical Sciences |
WOS Subject | Mathematics, Interdisciplinary Applications ; Multidisciplinary Sciences |
WOS Keyword | PARTICLE SWARM OPTIMIZER ; EVOLUTIONARY ALGORITHMS ; GENETIC ALGORITHM ; NSGA |
WOS Research Area | Mathematics ; Science & Technology - Other Topics |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.sia.cn/handle/173321/7096 |
Collection | 工业信息学研究室 |
Affiliation | 1.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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