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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7052786
