Application of case-based reasoning-Tabu search hybrid algorithm for rolling schedule optimization in tandem cold rolling
Abstract
Purpose
The purpose of this study is to improve the global optimization ability of the Tabu search (TS) algorithm, and then improve the calculation efficiency and accuracy of rolling schedule in tandem cold rolling.
Design/methodology/approach
A case-based reasoning–Tabu search hybrid algorithm (CBRTS) has been presented. First, the case-based reasoning technology was adopted to obtain high-quality initial solution and then the TS algorithm was used for global optimization.
Findings
The optimization effect of CBRTS is compared with that of the traditional TS algorithm, and the analysis result indicates that the CBRTS has a faster convergence rate than TS, and the optimization results are closer to the global optimal. Meanwhile, the rolling schedule calculated by CBRTS is more reasonable, which can increase the production efficiency while giving full play to the capacity of equipment.
Originality/value
A CBRTS hybrid algorithm is presented. The strong dependence of the TS algorithm on the initial solution has been solved. The rolling schedule multi-objective optimization functions are established. The proposed algorithm is applied in a 1,450-mm tandem cold rolling production line. The improved method can reduce about half the iterations compared with the traditional one.
Keywords
Acknowledgements
This study is financially supported by the National Natural Science Foundation of China (No.: 51074052), the Fundamental Research Funds for the Central Universities (No.: N140704001) and the PhD Start-up Fund of Natural Science Foundation of Liaoning Province, China (No.: 20131033).
Citation
Bu, H.-n., Yan, Z.-w. and Zhang, D.-H. (2018), "Application of case-based reasoning-Tabu search hybrid algorithm for rolling schedule optimization in tandem cold rolling", Engineering Computations, Vol. 35 No. 1, pp. 187-201. https://doi.org/10.1108/EC-02-2017-0054
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited