| 一种引入Nelder-Mead算子的改进狼群搜索算法* |
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| 引用本文： | 王 涛,王 勇,黄华娟.一种引入Nelder-Mead算子的改进狼群搜索算法*[J].计算机应用研究,2016,33(10). |
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| 作者姓名： | 王 涛 王 勇 黄华娟 |
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| 作者单位： | 广西民族大学信息科学与工程学院,广西民族大学信息科学与工程学院,广西民族大学 信息科学与工程学院 |
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| 基金项目： | 广西自然科学基金(National Science Foundation of Guangxi of China under Grant No.0832084);广西高等学校科研项目(KY2015YB078). |
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| 摘 要： | 为了克服狼群搜索算法(WSA)存在的不足,提出一种新的混合优化算法,称之为引入Nelder-Mead算子的改进狼群搜索算法。该算法使每只狼在搜索中可利用群体信息和个体记忆来指导其搜索猎物,以提高算法的全局搜索能力；让每只狼在搜索中可使用Nelder-Mead方法,以弥补WSA算法在局部搜索能力上的不足。针对12个基准测试实例的实验结果表明, 该算法能够寻得更优的最优解,且鲁棒性更强。
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| 关 键 词： | 狼群搜索算法 优化 算子 |
| 收稿时间： | 2015/5/31 0:00:00 |
| 修稿时间： | 2016/8/20 0:00:00 |
An improved wolf search algorithm using Nelder-Mead operator |
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| WANG Tao,WANG Yong and Huang Huajuan.An improved wolf search algorithm using Nelder-Mead operator[J].Application Research of Computers,2016,33(10). |
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| Authors: | WANG Tao WANG Yong and Huang Huajuan |
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| Affiliation: | College of Information Science Engineering,Guangxi University for Nationalities,,College of Information Science and Engineering, Guangxi University for Nationalities |
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| Abstract: | Aiming at overcoming the shortcoming of the wolf search algorithms (WSA), a new hybrid optimization algorithm is presented in this paper, which is called an improved wolf search algorithm using Nelder-Mead operator. In this optimization algorithm, on one hand, each wolf can 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 can 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. the proposed algorithm is validated using twelve typical benchmark problems, and the results show that the proposed algorithm can find out better optimum and has a stronger robustness. |
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| Keywords: | wolf search algorithm (WSA) optimization operator |
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