摘要
针对整数规划问题的特点,提出了一种在整数空间中进行进化计算的PSO算法,使微粒群的进化限于整数空间。给出了热轧生产调度问题的最优轧制单元数学规划模型。并将该方法成功应用于最优轧制单元求解。
Particle Swarm Optimization （PSO） has been successfully applied to many optimization problems on real search space. For Integer Programming（IP）, there exist some difficulties for the direct applications of PSO, due to the variables belonging to the set of integers. In this paper, a new PSO algorithm for IP is presented, which evolves on the set of integer space. Mathematical model of hot stip mill scheduling is concluded, and the PSO algorithm for IP is applied to the problem successfully.
出处
《运筹与管理》
CSCD
2007年第1期154-158,共5页
Operations Research and Management Science
基金
山西省自然科学基金资助项目(20041048)
太原科技大学博士基金资助项目
关键词
生产管理
微粒群算法
整数规划
热轧调度
particle swarm optimization
hot strip mill scheduling
integer programming
