辽宁工程技术大学学报（自然科学版）2011，Vol.30Issue(2)：308-311,4.
改进PSO权值算法在流水生产调度中的应用
Application of improved PSO weighting in production line scheduling
摘要
Abstract
In order to generate a fast, efficient and rational schedule for a production process to achieve an optimal production, a modified Particle Swarm Algorithm, the weights of Particle Swarm Optimization Algorithm (DPSO), were investigated.The study concentrated on the parameter settings for DPSO algorithm.Based on the traditional PSO algorithm, the weighting factors with dynamic and adaptive adjustment capabilities were introduced, which make the algorithm achieving global optimization faster, and also greatly reducing the number of iterations.The DPSO algorithm was used for flow-shop scheduling in process industries to greatly improve the efficiency of production.The simulation indicates that the algorithm has very good performance on global optimization.The results have a reference value to production scheduling.关键词
流水车间调度/粒子群优化/惯性权重/全局优化/生产调度Key words
flow shop scheduling/ particle swarm optimization/ inertia weight/ global optimization/ production scheduling分类
信息技术与安全科学引用本文复制引用
伦淑娴,薛洪波,卢东升..改进PSO权值算法在流水生产调度中的应用[J].辽宁工程技术大学学报（自然科学版）,2011,30(2):308-311,4.基金项目
国家自然科学基金资助项目(60974071) （60974071）
辽宁省教育厅重点实验室基金资助项目(2009S002) （2009S002）
