信阳师范学院学报（自然科学版）Issue(3)：446-449,4.DOI:10.3969/j.issn.1003-0972.2013.03.035
基于自适应搜索的人工蜂群算法
An Artificial Bee Colony Algorithm Based on Adaptive Search
摘要
Abstract
The basic artificial bee colony algorithm has a slow convergence speed , and easily gets trapped in local optimum.An improved algorithm given in this paper combined chaotic operator and inverse operator and then produced initialization population to improve the diversity of initial population .The parameter adaptive search operator was put forward and applied to the position updating of employed bees and onlookers bees .The improved algorithm (Improved ABC, IABC) had been experimented by five standard unimodal or multi -peak functions.The experimental results showed that the IABC algorithm is superior to the ABC algorithm in the search efficiency , the quality of the optimal so-lution and the stability .关键词
人工蜂群算法/混沌算子/逆向算子/自适应搜索Key words
artificial bee colony algorithm/chaotic operator/inverse operator/adaptive search分类
信息技术与安全科学引用本文复制引用
郭超峰,李梅莲..基于自适应搜索的人工蜂群算法[J].信阳师范学院学报（自然科学版）,2013,(3):446-449,4.基金项目
河南省重点科技攻关项目（122102210488，132102210095）；河南省教育厅科学技术研究重点项目 （）
