A long-term fleet renewal problem under uncertainty: A simulation-based optimization approach

作者：

Highlights：

• A stochastic naval fleet renewal problem is modeled and solved.

• The life-cycle of a fleet is simulated by a hybrid simulation model.

• The simulation model is coupled with an enhanced genetic algorithm.

• Robust renewal strategies are identified by the proposed approach.

• The scenario discovery analysis helps examine extreme scenarios.

摘要

•A stochastic naval fleet renewal problem is modeled and solved.•The life-cycle of a fleet is simulated by a hybrid simulation model.•The simulation model is coupled with an enhanced genetic algorithm.•Robust renewal strategies are identified by the proposed approach.•The scenario discovery analysis helps examine extreme scenarios.

论文关键词：Fleet renewal,Simulation-optimization,System dynamics,Genetic algorithm,Scenario discovery

论文评审过程：Received 25 August 2019, Revised 28 October 2019, Accepted 21 December 2019, Available online 23 December 2019, Version of Record 27 December 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113158