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Optimal plate design problem in steel production
journal contributionposted on 21.02.2022, 11:15 authored by Shengnan Zhao, Ying Meng, Lijie Su, Jiyin LiuJiyin Liu, Lixin Tang
In this paper, we address a new optimal plate design problem in steel production, in which slab selection is jointly considered. On the basis of the underlying features, the problem is formulated as a mixed integer nonlinear programming (MINLP) model with generalized disjunctive programming (GDP) constraints. A logic-based outer approximation (L-OA) algorithm is proposed to solve the problem. Specifically, a two-stage heuristic method is designed to initialize the L-OA algorithm. Numerical results are presented to demonstrate that the proposed L-OA algorithm and the heuristic method are effective and computationally efficient.
Higher Education Discipline Innovation Project [grant number B16009]
National Natural Science Foundation of China [grant number 72192830, 72192831, 72002028]
- Business and Economics