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题名: A Learnable Artificial Bee Colony Algorithm for Numerical Function Optimization
作者: Qi XB(亓祥波) ; Zhu YL(朱云龙) ; Nan L(南琳) ; 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: 20th International Conference on Industrial Engineering and Engineering Management
会议日期: August 16-19, 2013
会议地点: Baotou, China
会议录: Proceedings of 20th International Conference on Industrial Engineering and Engineering Management
会议录出版者: Springer Verlag
会议录出版地: Heidelberg, Germany
出版日期: 2013
页码: 349-360
收录类别: EI
ISBN号: 978-3-642-40062-9
关键词: Learnable Artificial Bee Colony ; Artificial Bee Colony ; Particle Swarm Optimization
摘要: To improve optimizing performance of artificial bee colony (ABC), a new algorithm called learnable artificial bee colony (LABC) is presented in this paper. The new algorithm employs some available knowledge from the two optimization phases to guide the next optimization process. Eight benchmark functions are used to validate its optimization effect. The experimental results show that LABC outperforms ABC and particle swarm optimization (PSO) on most benchmark functions. LABC provides a new reference for improving optimization performance of ABC.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/13823
Appears in Collections:信息服务与智能控制技术研究室_会议论文

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