Study on the rolling schedule optimization of five tandem cold rolling mills

Abstract

Artificial bee colony (ABC) algorithm is a swarm intelligence optimization algorithm based on the working mechanism of honeybee swarms. It has advantages of less control parameters, easily programming and simple calculation, but there are still many problems to be improved and solved. Firstly, the logistic sequence to contro1 the mutation size is applied to improve the diversity of the population. Secondly several selection strategies are analyzed and compared through simulation. Results indicate that the improved algorithm performance was superior to the basic artificial bee colony algorithm. Finally, a modified artificial bee colony algorithm for rolling schedule was to code and operate the reduction rates by the targets of load equalization and rolling force equilibrium on certain constraint conditions. The practice on 5 stands tandem cold rolling mills shows that the rolling schedule makes the distribution of power and roll force reasonable, and increase economic benefit.