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A hybrid approach to artificial bee colony algorithm
Ma LB(马连博); Zhu YL(朱云龙); Zhang DY(张丁一); Niu B(牛奔)
Department信息服务与智能控制技术研究室
Source PublicationNeural Computing and Applications
ISSN0941-0643
2016
Volume27Issue:2Pages:387-409
Indexed BySCI ; EI
EI Accession number20151100640953
WOS IDWOS:000369996500012
Contribution Rank1
KeywordArtificial Bee Colony Algorithm Varying Population Life Cycle Comprehensive Learning
AbstractIn this paper, we put forward a hybrid approach based on the life cycle for the artificial bee colony algorithm to generate dynamical varying population as well as ensure appropriate balance between exploration and exploitation. The bee life-cycle model is firstly constructed, which means that each individual can reproduce or die dynamically throughout the searching process and population size can dynamically vary during execution. With the comprehensive learning, the bees incorporate the information of global best solution into the search equation for exploration, while the Powell’s search enables the bees deeply to exploit around the promising area. Finally, we instantiate a hybrid artificial bee colony (HABC) optimizer based on the proposed model, namely HABC. Comprehensive test experiments based on the well-known CEC 2014 benchmarks have been carried out to compare the performance of HABC against other bio-mimetic algorithms. Our numerical results prove the effectiveness of the proposed hybridization scheme and demonstrate the performance superiority of the proposed algorithm.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectComputer Science, Artificial Intelligence
WOS KeywordNUMERICAL FUNCTION OPTIMIZATION ; DIVISION-OF-LABOR ; GLOBAL OPTIMIZATION ; POPULATION-DYNAMICS ; PARTICLE SWARM ; EVOLUTION ; MODEL ; COEVOLUTION ; POLYETHISM
WOS Research AreaComputer Science
Citation statistics
Cited Times:14[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/15779
Collection信息服务与智能控制技术研究室
Corresponding AuthorMa LB(马连博)
Affiliation1.Laboratory of Information Service and Intelligent Control, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Key Laboratory of Networked Control System CAS, Shenyang, China
3.College of Management, Shenzhen University, Shenzhen, China
Recommended Citation
GB/T 7714
Ma LB,Zhu YL,Zhang DY,et al. A hybrid approach to artificial bee colony algorithm[J]. Neural Computing and Applications,2016,27(2):387-409.
APA Ma LB,Zhu YL,Zhang DY,&Niu B.(2016).A hybrid approach to artificial bee colony algorithm.Neural Computing and Applications,27(2),387-409.
MLA Ma LB,et al."A hybrid approach to artificial bee colony algorithm".Neural Computing and Applications 27.2(2016):387-409.
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