中文摘要：

针对人群搜索算法在后期搜索时收敛速度减慢、容易陷入次优解、计算效果变差等缺点,设计一种融入模式搜索的改进人群搜索算法。利用6个标准测试函数进行仿真实验,发现改进后的算法在收敛速度和精度上明显提高,尤其是在后期能够进行突跳进而摆脱局部次优解,鲁棒性好,全局寻优能力增强。

英文摘要：

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.