计算机工程与应用2009，Vol.45Issue(33)：28-30,37,4.DOI:10.3778/j.issn.1002-8331.2009.33.010
基于变异算子的人工鱼群混合算法
Hybrid artificial fish swarm algorithm based on mutation operator
摘要
Abstract
A Hybrid Artificial Fish Swarm Algorithm(HAFSA) is proposed,where the Hooke-Jeeves pattern search is combined with AFSA to speed up the local search,also mutation operator is embedded to avoid the common defect of premature conver-gence.So the hybrid algorithm is capable of improving the local search ability of the algorithm,as well as reducing the computa-tional burden.The experimental results through testing by functions and practical problems show that the hybrid algorithm is effi-cient and effective.关键词
人工鱼群算法/Hooke-Jeeves方法/混合算法/变异Key words
artificial fish school algorithm/Hooke-Jeeves method/hybrid algorithm/mutation分类
信息技术与安全科学引用本文复制引用
黄华娟,周永权..基于变异算子的人工鱼群混合算法[J].计算机工程与应用,2009,45(33):28-30,37,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60461001) （the National Natural Science Foundation of China under Grant No.60461001）
广西省自然科学基金(the Natural Science Foundation of Guangxi Province of China under Grant No.0542048,No.0832082). （the Natural Science Foundation of Guangxi Province of China under Grant No.0542048,No.0832082）
