NSGA-II with objective-specific variation operators for multiobjective vehicle routing problem with time windows

作者：

Highlights：

• This paper addresses Multiobjective Vehicle Routing Problem with Time Windows.

• A Nondominated Sorting Genetic Algorithm II approach is proposed for the problem.

• The proposed approach uses objective-specific greedy variation operators.

• Computational results demonstrate the effectiveness of the proposed approach.

摘要

•This paper addresses Multiobjective Vehicle Routing Problem with Time Windows.•A Nondominated Sorting Genetic Algorithm II approach is proposed for the problem.•The proposed approach uses objective-specific greedy variation operators.•Computational results demonstrate the effectiveness of the proposed approach.

论文关键词：Evolutionary algorithms,Multiobjective optimization,Nondominated sorting genetic algorithm II,Vehicle routing problem with time windows

论文评审过程：Received 20 March 2020, Revised 6 December 2020, Accepted 20 February 2021, Available online 13 March 2021, Version of Record 2 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114779