计算机应用研究2016，Vol.33Issue(10)：2937-2940,4.DOI:10.3969/j.issn.1001-3695.2016.10.014
一种引入 NeIder-Mead算子的改进狼群搜索算法
Improved wolf search algorithm using Nelder-Mead operator
摘要
Abstract
Aiming at overcoming the shortcoming of the wolf search algorithms (WSA),this paper presented a new hybrid op-timization algorithm,which was called an improved wolf search algorithm using Nelder-Mead operator.In this optimization algo-rithm,on one hand,each wolf could use the group information and individual memory to guide its searching for prey,so as to improve the global search ability of algorithm.On the other hand,each wolf could use Nelder-Mead method in its search process,so as to improve the local search ability of the individual and making up for the deficiency of local search ability about the WSA.In order to test the performance of the proposed algorithm,It conducted experiments on six benchmark functions,and the results show that the proposed algorithm can find out better optimum,has a stronger robustness,and it can be used to solve the high dimensional and complex optimization problems.关键词
狼群搜索算法/Nelder-Mead/优化/算子Key words
wolf search algorithm(WSA)/Nelder-Mead/optimization/operator分类
信息技术与安全科学引用本文复制引用
王涛,王勇..一种引入 NeIder-Mead算子的改进狼群搜索算法[J].计算机应用研究,2016,33(10):2937-2940,4.基金项目
广西自然科学基金资助项目（0832084）；广西高等学校科研项目 （）
