中文摘要：

针对万有引力搜索算法对一些优化问题的搜索精度不高,容易出现早熟的问题,提出了改进的万有引力搜索算法.该算法借鉴生物界中雁群的飞行特征和加权平均法,扩大了搜索范围,加强了粒子间的合作与竞争.通过对6个基准函数的仿真测试,MATLAB仿真结果表明新算法能更有效地提高全局搜索能力.

英文摘要：

Aiming at the problems that gravitational search algorithm easily falls into premature convergence and has bad performance in search accuracy,improved gravitational search algorithm（IGSA）is put forward.This new method,combining the flight characteristics of wild geese flock and the method of weighted mean,expands the search scope and strengthens the cooperation and competition between the particles.The simulation test of the 6benchmark functions by MATLAB confirms that the improved algorithm efficiently improves the global search ability.