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A modified Artificial Bee Colony optimizer by comprehensive learning and Powell' search
Liu BY(刘博洋); Shao WP(邵伟平); Liu, Qiuyan; Ma LB(马连博)
作者部门信息服务与智能控制技术研究室
会议名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议日期June 8-12, 2015
会议地点Shenyang, China
会议录名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码1529-1533
收录类别EI ; CPCI(ISTP)
EI收录号20161402187731
WOS记录号WOS:000380502300279
产权排序1
ISSN号2379-7711
ISBN号978-1-4799-8730-6
关键词Comprehensive Learning Artificial Bee Colony Optimization Algorithm
摘要T In order to improve the algorithmic ability of balancing the exploration and exploitation tradeoff, a modified Artificial Bee Colony optimizer (MABC) is proposed by combining Powell's search and comprehensive learning using PSO-based search equation strategy. With comprehensive learning, the bees incorporate the information of global best solution into the solution search equation to improve the exploration while the Powell's search enables the bees deeply exploit around the promising area, which provides a proper balance between exploration and exploitation. The experimental results on a set of benchmarks demonstrated the effectiveness of the proposed algorithm.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/18540
专题信息服务与智能控制技术研究室
作者单位1.School of ME Shenyang Ligong University, Shenyang, China
2.Service and Intelligent Control, Shenyang Institute of Automation, Shenyang, China
3.School of Mechanical Engineering, Shenyang Ligong University, Shenyang, China
4.Shenyang Blower Works Group Corporation, Shenyang, China
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GB/T 7714
Liu BY,Shao WP,Liu, Qiuyan,et al. A modified Artificial Bee Colony optimizer by comprehensive learning and Powell' search[C]. Piscataway, NJ, USA:IEEE,2015:1529-1533.
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