Shop floor simulation optimization using machine learning to improve parallel metaheuristics
作者：
Highlights：
• A simulation optimization problem was developed for a shop floor.
• The optimization integrated parallelism, metaheuristics, and machine learning.
• Was obtained a solution 95.32% near the global optimum and time reduction of 95.2%.
摘要
•A simulation optimization problem was developed for a shop floor.•The optimization integrated parallelism, metaheuristics, and machine learning.•Was obtained a solution 95.32% near the global optimum and time reduction of 95.2%.
论文关键词：Simulation optimization,Parallelism,Machine learning meta-model,Metaheuristic,Shop floor resource allocation
论文评审过程：Received 24 May 2019, Revised 26 September 2019, Accepted 2 February 2020, Available online 5 February 2020, Version of Record 14 February 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113272
