A hybrid algorithm on the vessel routing optimization for marine debris collection

作者：

Highlights：

• The logistics network is used to optimize the marine debris collection problem.

• GNOME software is employed to predict the trajectory of marine debris.

• The fuel cost in the objective is a piecewise linear function of the total weight of vessel load.

• A hybrid algorithm of adaptive large-scale neighborhood search and wolf pack algorithm is proposed.

• Some valuable managerial insights are drawn.

摘要

•The logistics network is used to optimize the marine debris collection problem.•GNOME software is employed to predict the trajectory of marine debris.•The fuel cost in the objective is a piecewise linear function of the total weight of vessel load.•A hybrid algorithm of adaptive large-scale neighborhood search and wolf pack algorithm is proposed.•Some valuable managerial insights are drawn.

论文关键词：Marine debris collection,Vessel routing optimization,GNOME,Adaptive large-scale neighborhood search,Wolf pack algorithm

论文评审过程：Received 11 November 2020, Revised 7 April 2021, Accepted 11 May 2021, Available online 24 May 2021, Version of Record 31 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115198