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A novel hybrid artificial bee colony algorithm with crossover operator for numerical optimization
Yan XH(晏晓辉); Zhu YL(朱云龙); Chen HN(陈瀚宁); Zhang H(张浩)
Department信息服务与智能控制技术研究室
Source PublicationNatural Computing
ISSN1567-7818
2015
Volume14Issue:1Pages:169-184
Indexed BySCI ; EI
EI Accession number20143600049393
WOS IDWOS:000360155600013
Contribution Rank2
KeywordArtificial Bee Colony Hybrid Artificial Bee Colony Crossover Operator Crossover Rate
AbstractArtificial Bee Colony (ABC) algorithm is one of the most recently introduced swarm intelligence algorithms which inspired by the foraging behavior of honey bee swarms. It has been widely used in numerical and engineering optimization problems. This paper presents a hybrid artificial bee colony (HABC) model to improve the canonical ABC algorithm. The main idea of HABC is to enhance the information exchange between bees by introducing the crossover operator of genetic algorithm to ABC. With suitable crossover operation, valuable information is fully utilized and it is expected that the algorithm can converge faster and more accurate. Eight versions of HABC algorithm combined by different selection and crossover methods under the model were proposed and tested on several benchmark functions. Then, the settings of the new parameter crossover rate for two well performed HABC versions are tested to verify their best values. Finally, four rotated functions and four shifted functions are used to test the performance of the two algorithms on complex functions and asymmetric functions. Experiment results showed that these two versions of HABC algorithm offer significant improvement over the original ABC and are superior to other two state of the art algorithms on some functions. 漏 2013 Springer Science+Business Media Dordrecht.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods
WOS KeywordPARTICLE SWARM OPTIMIZATION ; GENETIC ALGORITHM ; DIFFERENTIAL EVOLUTION ; GLOBAL OPTIMIZATION ; PERFORMANCE
WOS Research AreaComputer Science
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/14682
Collection信息服务与智能控制技术研究室
Corresponding AuthorYan XH(晏晓辉)
Affiliation1.Department of Mechanical Engineering, Dongguan University of Technology, Dongguan, 523808, China
2.Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
Recommended Citation
GB/T 7714
Yan XH,Zhu YL,Chen HN,et al. A novel hybrid artificial bee colony algorithm with crossover operator for numerical optimization[J]. Natural Computing,2015,14(1):169-184.
APA Yan XH,Zhu YL,Chen HN,&Zhang H.(2015).A novel hybrid artificial bee colony algorithm with crossover operator for numerical optimization.Natural Computing,14(1),169-184.
MLA Yan XH,et al."A novel hybrid artificial bee colony algorithm with crossover operator for numerical optimization".Natural Computing 14.1(2015):169-184.
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