[1]盛孟龙,贺兴时,王慧敏. 一种改进的自适应变异蝙蝠算法[J].计算机技术与发展,2014,24(10):131-134.
　SHENG Meng-long,HE Xing-shi,WANG Hui-min. An Improved Algorithm for Adaptive Mutation Bat[J].,2014,24(10):131-134.
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 一种改进的自适应变异蝙蝠算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年10期
页码:
131-134
栏目:
智能、算法、系统工程
出版日期:
2014-10-10

文章信息/Info

Title:
 An Improved Algorithm for Adaptive Mutation Bat
文章编号:
1673-629X（2014）10-0131-04
作者:
 盛孟龙; 贺兴时; 王慧敏
 西安工程大学 理学院
Author(s):
 SHENG Meng-long; HE Xing-shi; WANG Hui-min
关键词:
 ; 蝙蝠算法; 交叉变换; Beat分布; 自适应变异
Keywords:
 ; bat algorithm; cross-conversion; Beat distribution; adaptive mutation
分类号:
TP301.6
文献标志码:
A
摘要:
 针对蝙蝠算法在解决高维复杂问题时容易陷入局部最优解和精确度不高的问题，文中提出了一种改进的蝙蝠算法。在原算法的基础上，引入一种交叉变换的方式更新蝙蝠群体的位置，一方面是为了提高蝙蝠算法的遍历性，另外还可以减小蝙蝠算法陷入局部最优解的可能性。模拟蝙蝠发声的音量变化，采用自适应的变换的方式改进蝙蝠算法最优解的选择模式，达到提高算法的精度和收敛速度的目的。最后通过标准的测试函数对改进后的算法进行数值模拟，结果显示，改进后的算法较为有效。
Abstract:
 In view of the problem which is easy to fall into local optimal solution and the accuracy is not high in solving high-dimensional complex problems for bat algorithm,propose an improved algorithm of bat in this paper. On the basis of the original algorithm,introduce a cross transform to update the location of the bat population,one hand is to enhance the traverses of bat algorithm,on the other hand can reduce the possibility of falling into local optimal solution. Analog bat sound volume changes,using an way of adaptive transform to im-prove the selection mode of bat algorithm optimal solution,achieving the purpose of improving the accuracy and convergence rate. Final-ly,the standard test function is used to conduct the numerical simulation for the improved algorithm,the results show that the improved al-gorithm is more effective.

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更新日期/Last Update: 2015-04-02