文章基本信息

标题：A Comparison between Bat Algorithm and Cuckoo Search for Path Planning
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作者：Yogita Gigras ; Kusum Gupta ; Vandana 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：5
DOI：10.15680/ijircce.2015.0305067
出版社：S&S Publications
摘要：Here, metaheuristic search techniques are applied for robotic path planning. Robot has to move from itsstarting point called source point to final point called as destination point with minimum number of moves anditeration. Here both cuckoo search and bat algorithms are applied for the proposed problem and simulation results arecompared. The techniques are applied for different number of population and bat algorithm provide better results ascompared to cuckoo search.
关键词：Metaheuristic; cuckoo search; levy flight; bat algorithm