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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)
作者部门信息服务与智能控制技术研究室
关键词Artificial Bee Colony Hybrid Artificial Bee Colony Crossover Operator Crossover Rate
发表期刊Natural Computing
ISSN1567-7818
2015
卷号14期号:1页码:169-184
收录类别SCI ; EI
EI收录号20143600049393
WOS记录号WOS:000360155600013
产权排序2
摘要Artificial 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.
语种英语
WOS标题词Science & Technology ; Technology
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications ; Computer Science, Theory & Methods
关键词[WOS]PARTICLE SWARM OPTIMIZATION ; GENETIC ALGORITHM ; DIFFERENTIAL EVOLUTION ; GLOBAL OPTIMIZATION ; PERFORMANCE
WOS研究方向Computer Science
引用统计
被引频次:6[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/173321/14682
专题信息服务与智能控制技术研究室
通讯作者Yan XH(晏晓辉)
作者单位1.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
推荐引用方式
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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