点击次数：

论文类型：会议论文

发表时间：2010-01-01

收录刊物：EI、CPCI-S、Scopus

页面范围：3138-3142

关键字：Dynamic neighborhood topology; Sub swarms; Large scale optimization; Particle swarm optimization

摘要：In this paper, a novel particle swarm optimization (PSO) with dynamic neighborhood topology is considered for large scale optimization. Because the large scale computation problem exists commonly in industry, and is different from the canonical optimization process, solving this problem is imperative. The dynamic neighborhood topology could assist the PSO algorithm cooperate with neighbor particles and overcome the premature problem. Then according to established topology, constitute sub-swarms to improve large-scale computing effects. The simulation results demonstrate good performance of the proposed algorithm in solving a series of significant benchmark test functions.