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题名: A hybrid approach to artificial bee colony algorithm
作者: 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研究室
关键词: Artificial bee colony algorithm ; Varying population ; Life cycle ; Comprehensive learning
刊名: Neural Computing and Applications
ISSN号: 0941-0643
出版日期: 2016
卷号: 27, 期号:2, 页码:387-409
收录类别: SCI ; EI
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记录号: WOS:000369996500012
WOS标题词: Science & Technology ; Technology
类目[WOS]: Computer Science, Artificial Intelligence
关键词[WOS]: NUMERICAL FUNCTION OPTIMIZATION ; DIVISION-OF-LABOR ; GLOBAL OPTIMIZATION ; POPULATION-DYNAMICS ; PARTICLE SWARM ; EVOLUTION ; MODEL ; COEVOLUTION ; POLYETHISM
研究领域[WOS]: Computer Science
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/15779
Appears in Collections:信息服务与智能控制技术研究室_期刊论文

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Recommended Citation:
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.
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