一种改进的自适应邻域粒子群优化算法

Improved PSO algorithm with adaptive neighborhood

在对粒子群优化(PSO)算法进行深入分析的基础上,建立了自适应邻域更新机制,再对惯性权重更新机制进行自适应化,分别从拓扑邻域结构和惯性权重两个角度对局部版PSO算法进行了改进,提出了一种实用、高效的自适应邻域粒子群优化算法,经7个标准测试函数验证,该算法具有较高效率和精度。

Based on thorough analysis on the existing PSO algorithms, an improved PSO algorithm with adaptive neighborhood was proposed, which included two special improvements： the mechanism of scheduled neighborhood adaptation, and a modified mechanism of scheduled interia weight adaptation. The proposed PSO algorithm is proved to be high-performing and high accurate by 7 standard banchmark functions.