针对标准粒子群算法在进化过程中种群多样性降低而早熟的问题 ,提出一种动态改变惯性权重的自适应粒子群算法.-For PSO population diversity in the evolutionary process and reduce premature problem, a dynamically changing inertia weight adaptive particle swarm optimization.

基于自适应变异的对多目标粒子群算法的改进算法-Based on the multi-objective particle swarm algorithm for improved algorithm of adaptive mutation