An improved artificial bee colony algorithm with modified-neighborhood-based update operator and independent-inheriting-search strategy for global optimization

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• 作者：Fuli Zhong^a ; ^{zhongfulicn@163.com} ; Hui Li^a ; Shouming Zhong^b
• 关键词：Biological-inspired optimization algorithm ; Swarm intelligence ; Artificial bee colony ; Optimization
• 刊名：Engineering Applications of Artificial Intelligence
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：58
• 期：Complete
• 页码：134-156
• 全文大小：5460 K
• 卷排序：58

文摘

A modified ABC algorithm is proposed for global optimization problems. The global and subset-best guided terms are applied in the modified-neighborhood-based update operator in employed bee stage. The exploration and exploitation are balanced and adjusted with a variable factor. A proposed independent-inheriting-search strategy is used in the onlooker stage to improve the convergence speed. Multiple numerical experiments are conducted to verify the proposed algorithm.