An expert system to react to defective areas in nesting problems

作者：

Highlights：

• Development of the first reinforcement learning approach dedicated to generate allocations sequences for the nesting problem.

• Integration of placement heuristics and reinforcement learning to generate good layouts.

• The development of an expert system that allows to overcome defective areas in nesting problems within seconds.

摘要

•Development of the first reinforcement learning approach dedicated to generate allocations sequences for the nesting problem.•Integration of placement heuristics and reinforcement learning to generate good layouts.•The development of an expert system that allows to overcome defective areas in nesting problems within seconds.

论文关键词：Nesting problem,Strip-packing problem,Reinforcement learning,Transfer learning,Heuristic

论文评审过程：Received 13 September 2021, Revised 30 June 2022, Accepted 15 July 2022, Available online 25 July 2022, Version of Record 2 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118207