计算机应用与软件Issue(10)：278-280,317,4.DOI:10.3969/j.issn.1000-386x.2014.10.067
一种小规模多种群布谷鸟算法
A SMALL-SCALE AND MULTI-POPULATION CUCKOO SEARCH
摘要
Abstract
Cuckoo search has slow convergence speed in later stage,and its computation accuracy is low as well.In light of these deficien-cies,we propose an improved small-scale and multi-population method in this paper.By applying the method in basic cuckoo search (CS) and self-adaptive step cuckoo search (ASCS ),the improved algorithms are called the small-scale and multi-population cuckoo search (MPCS)and the small-scale and multi-population cuckoo search with self-adaptive step (MPASCS)respectively.Tested by 8 benchmark test functions,the experimental results indicate that the improved algorithm can reach faster converge speed,better computation accuracy and higher converge rate than the original one.关键词
小规模多种群/布谷鸟算法/自适应步长布谷鸟算法Key words
Small-scale and multi-population/Cuckoo search/Self-adaptive step cuckoo search分类
信息技术与安全科学引用本文复制引用
郑巧燕,莫愿斌,刘付永,马彦追..一种小规模多种群布谷鸟算法[J].计算机应用与软件,2014,(10):278-280,317,4.基金项目
中国博士后基金项目（2012M511711）、广西教育厅项目（201204LX082）、广西民族大学项目（2011MDYB030）。 （）
