A Hybrid PSO Algorithm for Integrated Inventory Matching Problem in Iron and Steel Enterprises
With consideration of three important product types, cold trip, hot strip, and slab, this paper concentrates on the integrated inventory matching problem (IIMP) in iron and steel enterprises. A mathematical model is built to maximize satisfied demand and the amount of fulfilled orders while minimizing total involved cost A PSO based algorithm is proposed into which a local search procedure is embedded to speed up the convergence. The computational tests show that the hybrid algorithm has good performance.
Iron and steel enerprise integrated inventory matching particle swarm optimization local search
Cantao Shi Ting Li Tieke Li
School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, China Engineering Research Center of MES Technology for Iron & Steel Production, Ministry of Education, China
国际会议
成都
英文
80-83
2011-01-14(万方平台首次上网日期,不代表论文的发表时间)