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题名: BABC: A binary version of artificial bee colony algorithm for discrete optimization
作者: Liu W(刘微) ; Chen HN(陈瀚宁)
作者部门: 信息服务与智能控制技术研究室
关键词: Benchmarking ; Functions ; Optimization
刊名: International Journal of Advancements in Computing Technology
ISSN号: 2005-8039
出版日期: 2012
卷号: 4, 期号:14, 页码:307-314
收录类别: EI
产权排序: 2
摘要: The Artificial Bee Colony (ABC) algorithm recently gained high popularity by providing a robust and efficient approach for solving continuous optimization problems. In order to apply ABC in discrete landscape, a binary version of artificial bee colony (BABC) algorithm is proposed in this manuscript. Unlike the original ABC algorithm, the proposed BABC represents a food source as a discrete binary variable and applies discrete operators to change the foraging trajectories of the employed bees, onlookers and scouts in the probability that a coordinate will take on a zero or one value. With four mathematical benchmark functions, BABC is proved to have significantly better performance than the other two successful discrete optimizer, namely the genetic algorithm (GA) and particle swarm optimization (PSO).
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/10580
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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