太原理工大学学报2018，Vol.49Issue(1)：127-132,6.DOI:10.16355/j.cnki.issn1007-9432tyut.2018.01.019
基于互利共生和优胜劣汰的改进磷虾群算法
An Improved Krill Herd Algorithm Based on Mutualism and Survival of the Fittest
摘要
Abstract
Aimed at the shortcoming of easy plunging into local optimum of krill herd algo rithm(KH) in solving high dimensional complex optimization problems,an improved krill herd algorithm based on mutualism and random disturbance is proposed.First,the algorithm puts the strategy of mutualism into the standard KH,which enharnces the exchange of particles' information,improves the efficiency of information transfer effectively and increases krill individual's a bility of survival.Second,in order to avoid the premature convergence,this algorithm adopts the evolution of the survival of fittest in the natural selection mechanism to improve the quality of the individuals.Finally,the experiments simulating 12 benchmark standard test functions show that the algorithm has good effect in optimization capability and accuracy of solution,and is surperior to or highly competitive with other two kinds of algorithm.关键词
磷虾群算法/互利共生/优胜劣汰Key words
krill herd algorithm/mutualism/survival of the fittest分类
信息技术与安全科学引用本文复制引用
王滔,高岳林,曹凯..基于互利共生和优胜劣汰的改进磷虾群算法[J].太原理工大学学报,2018,49(1):127-132,6.基金项目
国家自然科学基金资助项目(61561001) （61561001）
校级研究生创新项目资助(YCX1783) （YCX1783）
北方民族大学重点科研项目(2015KJ10) （2015KJ10）
