粒子群算法在多目标优化中的应用综述

A review on appliaction of PSO in multi-objective optimization

粒子群优化算法是一种基于群体智能的全局随机寻优算法。它通过粒子搜寻自身的个体最优解和粒子群体的全局最优解来完成更新优化。粒子群算法在很多领域得到了广泛的应用。本文主要论述了多目标PSO约束优化的基本思想、实现情况,并展望了PSO算法在多目标优化中的未来发展方向。

PSO （Particle Swarm Optimization）is a global stochastic optimal algorithm based on swarm intelligence. To complete the updated optimization, PSO searches its own individual optimal solution particle swarm＇s global optimal solution,by means of particles. PSO has been applied in many fields. The basic outline,the actualization situation and the future trend are reviewed of PSO＇s multiobjective constraint optimization.