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A hybrid artificial bee colony algorithm for numerical function optimization
Yan XH(晏晓辉); Zhu YL(朱云龙); Zou WP(邹文平)
Department工业信息学研究室
Conference Name2011 11th International Conference on Hybrid Intelligent Systems (HIS 2011)
Conference DateDecember 5-8, 2011
Conference PlaceMelacca, Malaysia
Author of SourceIEEE Syst., Man, Cybernetics Soc.
Source PublicationProceedings of the 2011 11th International Conference on Hybrid Intelligent Systems (HIS 2011)
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2011
Pages127-132
Indexed ByEI
EI Accession number20120714761557
Contribution Rank1
ISBN978-1-4577-2151-9
KeywordArtificial Bee Colony Hybrid Artificial Bee Colony Particle Swarm Optimization Crossover
AbstractArtificial Bee Colony (ABC) algorithm is one of the most recent swarm intelligence algorithms which used for problem optimization. This paper presents a Hybrid Artificial Bee Colony algorithm (HABC), in which the crossover operator of Genetic Algorithm is introduced, to improve the canonical ABC in solving complex optimization problems. The variation of the algorithm is presented and seven benchmark functions are used to check its validity. The simulation results showed that the proposed HABC outperforms the canonical ABC and Particle Swarm Optimization algorithms on most functions, especially on the multimodal functions.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/8302
Collection工业信息学研究室
Affiliation1.Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, 110016, Shenyang, China
2.Graduate School of the Chinese Academy of Sciences, 100039, Beijing, China
Recommended Citation
GB/T 7714
Yan XH,Zhu YL,Zou WP. A hybrid artificial bee colony algorithm for numerical function optimization[C]//IEEE Syst., Man, Cybernetics Soc.. Piscataway, NJ, USA:IEEE,2011:127-132.
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