文章基本信息

标题：Artificial Bee Colony with Different Mutation Schemes: A comparative study
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作者：I. Abu Doush ; B. Hasan ; M. Al-Betar 等
期刊名称：Computer Science Journal of Moldova
印刷版ISSN：1561-4042
出版年度：2014
卷号：22
期号：1
页码：77-98
出版社：Institute of Mathematics and Computer Science
摘要：Artificial Bee Colony (ABC) is a swarm-based metaheuristic for continuous optimization. Recent work hybridized this algorithm with other metaheuristics in order to improve performance. The work in this paper, experimentally evaluates the use of different mutation operators with the ABC algorithm. The introduced operator is activated according to a determined probability called mutation rate (MR). The results on standard benchmark function suggest that the use of this operator improves performance in terms of convergence speed and quality of final obtained solution. It shows that Power and Polynomial mutations give best results. The fastest convergence was for the mutation rate value (MR=0.2).
关键词：Artiifcial Bee Colony; Evolutionary Algorithms; Mutation; Meta-heuristic algorithm; Polynomial mutation.