DocumentCode
3572445
Title
Ant colony optimization for scheduling walking beam reheating furnaces
Author
Rui Hu ; Shengxiang Yang ; Xiaochuan Luo
Author_Institution
Centre for Comput. Intell., De Montfort Univ., Leicester, UK
fYear
2014
Firstpage
621
Lastpage
626
Abstract
This paper presents a new mathematical model for the walking beam reheating furnace scheduling problem (WBRFSP) in an iron and steel plant, which allows the mixed package of hot and cold slabs and aims to minimize the energy consumption and increase the product quality. An ant colony optimization (ACO) algorithm is designed to solve this model. Simulation results based on the data derived from the field data of an iron and steel plant show the effectiveness of the proposed model and algorithm.
Keywords
ant colony optimisation; furnaces; industrial plants; mathematical analysis; scheduling; steel industry; ACO algorithm; ant colony optimization; energy consumption; iron plant; mathematical model; product quality; scheduling; slabs; steel plant; walking beam reheating furnace scheduling problem; Furnaces; Heating; Iron; Job shop scheduling; Silicon; Slabs;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type
conf
DOI
10.1109/WCICA.2014.7052786
Filename
7052786
Link To Document