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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)
作者部门信息服务与智能控制技术研究室
关键词Artificial Bee Colony Algorithm Varying Population Life Cycle Comprehensive Learning
发表期刊Neural Computing and Applications
ISSN0941-0643
2016
卷号27期号:2页码:387-409
收录类别SCI ; EI
EI收录号20151100640953
WOS记录号WOS:000369996500012
产权排序1
摘要In 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.
语种英语
WOS标题词Science & Technology ; Technology
WOS类目Computer Science, Artificial Intelligence
关键词[WOS]NUMERICAL FUNCTION OPTIMIZATION ; DIVISION-OF-LABOR ; GLOBAL OPTIMIZATION ; POPULATION-DYNAMICS ; PARTICLE SWARM ; EVOLUTION ; MODEL ; COEVOLUTION ; POLYETHISM
WOS研究方向Computer Science
引用统计
被引频次:13[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/15779
专题信息服务与智能控制技术研究室
通讯作者Ma LB(马连博)
作者单位1.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
推荐引用方式
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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