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

Can Tao Shi; Ting Li; Yu Zhuo Liu

doi:10.4028/www.scientific.net/AMM.411-414.1898

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414A Hybrid PSO Algorithm for Integrated Surplus...

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

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

1898-1903

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.1898

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Online since:

September 2013

Authors:

Can Tao Shi, Ting Li, Yu Zhuo Liu

Keywords:

Integrated Surplus Products Matching, Iron and Steel Enterprises, neighborhood search, Particle Swarm Optimization (PSO)

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