A sampling-based multi-objective iterative robust optimization method for Bandwidth Packing Problem

作者：

Highlights：

• New multi-objective paradigm for solving Robust Optimization problems.

• Does not require continuity, nor convexity from the objective function.

• Find solutions associated with different robustness levels automatically.

• A method that can be applied to NLPs.

摘要

•New multi-objective paradigm for solving Robust Optimization problems.•Does not require continuity, nor convexity from the objective function.•Find solutions associated with different robustness levels automatically.•A method that can be applied to NLPs.

论文关键词：Optimization,Robustness and sensitivity analysis,Monte Carlo simulation,Bandwidth Packing Problem

论文评审过程：Received 21 January 2021, Revised 16 March 2022, Accepted 25 April 2022, Available online 5 May 2022, Version of Record 17 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117337