A Hybrid PSO Algorithm for Integrated Surplus Products Matching Problem in Iron and Steel Enterprises

Autor: Can Tao Shi, Yu Zhuo Liu, Ting Li
Rok vydání: 2013
Předmět:
Zdroj: Applied Mechanics and Materials. :1898-1903
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.411-414.1898
Popis: With consideration of three important product types, cold trip, hot strip, and slab, this paper concentrates on the integrated surplus products matching problem (ISPMP) 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 neighborhood search procedure is embedded to speed up the convergence. The computational tests show that the hybrid algorithm has good performance.
Databáze: OpenAIRE