Abstract: Proposes an improved PSO（Particle Swarm Optimizer） called BDPSO（Behavior of Distance PSO） that particles do different behavior due to different regions of the swarm.In the attraction region particles speed up fly to the best position of the swarm and in the repulsion region they fly at normal speed.Some benchmark problems are tested for the performance of BDPSO and results show that BDPSO performances better than PSO both on convergence rate and accurate solutions.

摘要： 提出一种基于距离行为模型的改进微粒群算法,根据微粒所处区域来调整其飞行的速度。在吸引区域微粒加速飞向群体最优位置,在排斥区域按正常速度飞行。为了研究算法的性能,对几种典型高维非线性函数进行了测试。研究结果表明,与基本微粒群算法相比,改进后的微粒群算法提高了算法的收敛速度和收敛精度,改善了算法的性能。