电子学报2018，Vol.46Issue(6)：1300-1305,6.DOI:10.3969/j.issn.0372-2112.2018.06.004
一种模拟羊群行为的新型群集智能算法
A New Swarm Intelligence Algorithm by Simulating Sheep Behaviors
摘要
Abstract
The status of current various swarm intelligence algorithms contains many strategies which cover their core issues,therefore,a new swarm intelligence algorithm by simulating sheep behaviors optimization (SO) is devised. Based on the core of swarm intelligence algorithms,SO designs three kinds of strategies,namely global exploration,local exploitation and escaping from local optimization,by simulating three different kinds of corresponding sheep behaviors,namely bellweth-er guidance,moving to each other,and shepherd dog supervision respectively. The experimental results of benchmark test functions demonstrate that,compared with particle swarm optimization,SO gets better solution,faster convergence speed and better stability.关键词
群集智能/测试函数/全局探索/局部开发Key words
swarm intelligence/test function/global exploration/local exploitation分类
数理科学引用本文复制引用
曲大鹏,许伦祥,鲁垚光,原晓坤,黄敏,王兴伟..一种模拟羊群行为的新型群集智能算法[J].电子学报,2018,46(6):1300-1305,6.基金项目
国家自然科学基金(No.61572123) （No.61572123）
国家杰出青年科学基金(No.71325002) （No.71325002）
国家自然科学基金重点国际合作研究项目(No.71620107003) （No.71620107003）
教育部-中国移动科研基金(No.MCM20160201) （No.MCM20160201）
辽宁省博士科研启动基金(No.20170520323) （No.20170520323）
辽宁大学博士科研启动项目 （）
