NeuroEvolution of augmenting topologies for solving a two-stage hybrid flow shop scheduling problem: A comparison of different solution strategies

作者：

Highlights：

• Examination of NeuroEvolution of Augmenting Topologies for production scheduling.

• Overview of strategies of utilizing neural networks for flow shop scheduling.

• Comparison of NeuroEvolution of Augmenting Topologies with state-of-the-art methods.

摘要

•Examination of NeuroEvolution of Augmenting Topologies for production scheduling.•Overview of strategies of utilizing neural networks for flow shop scheduling.•Comparison of NeuroEvolution of Augmenting Topologies with state-of-the-art methods.

论文关键词：Artificial intelligence,Machine learning,Neural network,Neuro evolution,Scheduling,Flow shop

论文评审过程：Received 3 November 2020, Revised 25 January 2021, Accepted 25 January 2021, Available online 4 February 2021, Version of Record 13 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114666