中文摘要：

在6个标准测试函数的基础上，对惯量权重进行了调查研究，并且分析了惯量权重对算法的影响，提出了一种让惯量权重的取值随机均匀地落在区间[0．4，0．6]内的新方法，用以平衡全局搜索能力和局部开发能力。数值实验的结果表明，该方法比传统的权重线性递减（LDw）具有更快的收敛速度并且能获得更好的解。

英文摘要：

After the investigation of inertia weight based on six benchmark functions, the impact of inertia weight on the performance of PSO is analyzed. What is more, a new method in which the inertia weight is generated as a random number tmiformly distributed in [0.4, 0.6] in order to balance the global search and local search ability of the algorithm is proposed. The experimental results show that the new method is efficient and effective with not only faster convergence rate but also higher quality solutions when compared with linearly decreasing weight （LDW） method .