计算机技术与发展Issue(10)：131-134,4.DOI:10.3969/j.issn.1673-629X.2014.10.031
一种改进的自适应变异蝙蝠算法
An Improved Algorithm for Adaptive Mutation Bat
摘要
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.关键词
蝙蝠算法/交叉变换/Beat分布/自适应变异Key words
bat algorithm/cross-conversion/Beat distribution/adaptive mutation分类
信息技术与安全科学引用本文复制引用
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,(10):131-134,4.基金项目
陕西省软科学基金项目(2012KRM58) （2012KRM58）
陕西省教育自然科学基金项目(12JK0744) （12JK0744）
