【摘要】 粒子群优化方法(PSO Particle Swarm Optimization)是由 Kennedy和 Eberhart 于 1995年提出的进化计算技术,并成功应用于各类优化问题。其基本思想源于对鸟群捕食等群体行为的研究。本文对标准PSO方法进行了分析,给出了“群核”(Swarm-Core)的概念,并在此基础上,提出了群核进化粒子群优化方法(Swarm-Core EvolutionaryParticle Swarm Optimization,SCEPSO),同时把该方法与其它版本PSO方法进行了比较。试验结果表明:在相同环境下,SCEPSO方法能较好地克服传统PSO方法中的不足,测试结果较其它几个版本的PSO方法有很大提高,是非常有效的。更多还原

【Abstract】 Particle Swarm Optimization (PSO) method is proposed by Kennedy and Eberhart in 1995, it can be used to solve a wide array of different optimization problem. The PSO idea is inspired by natural concepts such as fish school- ing, bird flocking and human social relations. This paper analyzes the traditional PSO method deeply and defines the concept of "Swarm-Core", based on this concept, Swarm-Core Evolutionary Particle Swarm Optimization (SCEPSO) is proposed, at the same time compares SCEPSO method with other version PSO method under the same condition, the experimental results show that SCEPSO method is very effective and better than other version PSO method obviously.更多还原