西华大学学报（自然科学版）2017，Vol.36Issue(1)：7-11,5.DOI:10.3969/j.issn.1673-159X.2017.01.002
一种融入模式搜索的改进人群搜索算法
An Improved Population Search Algorithm Based on Pattern Search Method
摘要
Abstract
An improved Seeker optimization algorithm ( SOA ) is presented to overcome difficulties, such as slow convergence speed, easy to fall into local optimal solution and low precision in the standard SOA latterly, which combine pattern search method in the process of search. Six standard test functions were utilized in the simulation experiment and we found that as for the improved algo-rithm, the convergence speed and accuracy were increased significantly. The algorithm runs out of the local optimal solution and has good robustness and global optimization ability.关键词
人群搜索算法/模式搜索法/全局寻优/局部寻优Key words
seeker optimization algorithm/pattern search method/global optimization/local optimization分类
信息技术与安全科学引用本文复制引用
封京梅..一种融入模式搜索的改进人群搜索算法[J].西华大学学报（自然科学版）,2017,36(1):7-11,5.基金项目
国家自然科学基金资助项目(11301409) （11301409）
陕西省教育厅专项科研计划项目(15JK1058) （15JK1058）
陕西广播电视大学校级重点课题(15D-07-A04). （15D-07-A04）
