Experiments and Analysis on Inertia Weight in Particle Swarm Optimization
会议名称：《ICSSSM'04国际会议》
会议日期：2004年
学科分类：07[理学] 070202[理学-粒子物理与原子核物理] 0702[理学-物理学]
关 键 词：Particle Swarm Optimization Evolutionary Computation Inertia Weight
摘 要：正 The basic principle of particle swarm optimization （PSO） is introduced briefly in the paper. Sufficient experiments were done on inertia weight that is an important parameter in the algorithm. The selection difference between fixed and time-variant inertia weight was analyzed. And the influence of inertia weight on the algorithm performance was analyzed in detail from different aspects, including the problem dependence, swarm size and topologic structure. The result indicates the inertia weight has little problem dependence, and with the increase of the population its value should decrease properly. The selection of inertia weight has more freedom in the local version of PSO.