新型元启发式蝙蝠算法.pdfVIP

ISSN 1009-3044 E-mail: eduf@ 第 卷第 期 年 月 6 23 (2010 8 ) Computer Knowledge and Technology 电脑知识与技术 Computer Knowledge and Technology 电脑知识与技术 Vol.6,No.23, August 2010, pp.6569-6572 Tel:+86-551-5690963 5690964 新型元启发式蝙蝠算法 黎 成 （贺州学院，广西贺州 542800 ） 摘要：新型元启发式算法例如粒子群算法，萤火虫算法，和声有哪些信誉好的足球投注网站算法已经成为现今复杂的优化问题的有效解决方法。 该文基于蝙 蝠的回声定位行为提出了一种新型的元启发式算法——— 蝙蝠算法，同时也将现有的一些算法的优点引入到该算法中。 改文对该算 法进行了详细的公式化表述并对其执行流程的作出了说明，并且将该算法与遗传算法、粒子群优化算法等算法进行了比较。 仿真结 果表明蝙蝠算法明显优于其他算法，并对进一步的研究作出了展望。 , 关键词：蝙蝠算法；回声定位；全局最佳位置；脉冲发射 中图分类号： 文献标识码： 文章编号： TP311 A 1009-3044(2010)23-6569-04 A New Metaheuristic Bat-Inspired Algorithm LI Cheng (Hezhou Universtiy, Hezhou 542800, China) Abstract: Metaheuristic algorithms such as particle swarm optimization, mremy algorithm andharmony search are now becoming powerful methods for solving many tough optimiza-tion problems. In this paper, we propose a new metaheuristic method, the Bat Algo-rithm, based on the echo location behaviour of bats. We also intend to combine theadvantages of existing algorithms into the new bat algorithm. After a detailed formu-lation and explanation of its implementation, we will then compare the proposed algo-rithm with other existing al- gorithms, including genetic algorithms and particle swarm optimization. Simulations show that the proposed algorithm seems much superior to other algorithms, and further studies are also discussed. Key words: bat algorithm; Echolocation of bats; global best location; p