中国机械工程2011，Vol.22Issue(17)：2061-2066,6.
基于改进粒子群优化算法的多目标铜卷加工生产调度研究
Improved PSO for Multi-objective Copper Roll Production Scheduling
摘要
Abstract
Based on multi-objective copper roll production scheduling problem,an improved adaptive PSO algorithm was proposed.The external population was retained based on individuals＇ crowding distance sorting so that the whole particle swarm avoided local optimum.The global optimum was updated based on the probability of individuals＇ crowding distance and the local optimum was updated based on dominance relationship between each particle location and its old optimum,while the population diversity was preserved with adaptive dynamic inertia weight and the adaptive adjustment of internal population size which was based on the number of non-dominated solutions and single point crossover strategy.Finally,the application results show that the algorithm is effective.关键词
粒子群优化/多目标调度/个体拥挤距离/Pareto解集Key words
particle swarm optimization（PSO）/multi-objective production scheduling/individuals＇ crowding distance/Pareto optimal solution set分类
计算机与自动化引用本文复制引用
张建军,彭亚丽,张利,刘小平..基于改进粒子群优化算法的多目标铜卷加工生产调度研究[J].中国机械工程,2011,22(17):2061-2066,6.
