A reduced VNS based approach for the dynamic continuous berth allocation problem in bulk terminals with tidal constraints

作者：

Highlights：

• BAP in export bulk port considering tidal constraints is studied.

• An efficient construction heuristics are proposed.

• A metaheuristic approach for dynamic and continuous BAP is designed.

• A machine learning algorithm to tune the metaheuristic hyper parameters is used.

• Experimental results demonstrate the effectiveness of the proposal.

摘要

•BAP in export bulk port considering tidal constraints is studied.•An efficient construction heuristics are proposed.•A metaheuristic approach for dynamic and continuous BAP is designed.•A machine learning algorithm to tune the metaheuristic hyper parameters is used.•Experimental results demonstrate the effectiveness of the proposal.

论文关键词：Berth allocation,Maritime bulk terminal,Tidal constraints,Variable neighborhood search

论文评审过程：Received 6 January 2020, Revised 1 November 2020, Accepted 1 November 2020, Available online 16 November 2020, Version of Record 24 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114215