A military fleet mix problem for high-valued defense assets: A simulation-based optimization approach
作者：
Highlights：
• A complex military fleet mix and upgrade problem is modelled and solved.
• The problem is solved by a novel hybrid simulation–optimization approach.
• The efficiency of the proposed approach is verified by a realistic Army case study.
• A constructed surrogate model is employed to replace the expensive simulation model.
• Our approach yields 2.4% and 7.2% more deployability than DE and GA, respectively.
摘要
•A complex military fleet mix and upgrade problem is modelled and solved.•The problem is solved by a novel hybrid simulation–optimization approach.•The efficiency of the proposed approach is verified by a realistic Army case study.•A constructed surrogate model is employed to replace the expensive simulation model.•Our approach yields 2.4% and 7.2% more deployability than DE and GA, respectively.
论文关键词：Military fleet mix problem,Readiness,Fleet modernization optimization,Genetic algorithm,Simulation model,Surrogate model
论文评审过程：Received 19 December 2021, Revised 25 September 2022, Accepted 1 October 2022, Available online 8 October 2022, Version of Record 17 October 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118964
