Modeling and application for rolling scheduling problem based on TSP

作者：

Highlights：

• This paper build the hot rolling production planning model as an asymmetric traveling salesman problem.

• This paper used the ant colony-genetic algorithm with a tabu list to solve the rolling scheduling model.

摘要

•This paper build the hot rolling production planning model as an asymmetric traveling salesman problem.•This paper used the ant colony-genetic algorithm with a tabu list to solve the rolling scheduling model.

论文关键词：Rolling plan,Multi-objective optimization,Traveling salesman problem,Ant colony algorithm,Genetic algorithm

论文评审过程：Received 26 December 2019, Revised 11 April 2021, Accepted 13 April 2021, Available online 15 May 2021, Version of Record 15 May 2021.

论文官网地址：https://doi.org/10.1016/j.amc.2021.126333