计算机应用研究2012，Vol.29Issue(11)：4045-4049,5.DOI:10.3969/j.issn.1001-3695.2012.11.011
基于Memetic框架的混沌人工蜂群算法
Chaos artificial bee colony based on Memetic framework
摘要
Abstract
This paper proposed novel chaos-artificial bee colony algorithm for continuous function optimization problems. Based on the Memetic algorithm framework, the new algorithm took artificial bee colony algorithm as the global search algorithm and the chaos local search operator as the local search operator algorithm. Furthermore, for the food source which was into local minimum, the scout didn' t randomly generate the new food source, but used the chaos local operator to generate the candidate food source in order to enhance the exploit of bee colony. The simulation results for five Benchmark functions show that, compared with those of artificial bee colony algorithm, the new algorithm has the advantages to the solutions' quality.关键词
Memetic框架/混沌/人工蜂群算法/优化Key words
Memetic framework/ chaos/ artificial bee colony/ optimization分类
信息技术与安全科学引用本文复制引用
李志勇,李玲玲,王翔,王艳..基于Memetic框架的混沌人工蜂群算法[J].计算机应用研究,2012,29(11):4045-4049,5.基金项目
国家自然科学基金资助项目(41171341) （41171341）
国家教育部新世纪优秀人才支持计划资助项目(NCET-09-0126) （NCET-09-0126）
河南省科技创新人才计划杰出青年基金资助项目(114100510006) （114100510006）
中国航空科学基金资助项目(20095155008) （20095155008）
河南省重点科技攻关计划资助项目(112102310082) （112102310082）
河南省软科学研究计划资助项目(122400450306) （122400450306）
