Multi-objective optimization of joint scheduling of berth and quay crane under green ports

Yang Xu

doi:10.1117/12.3015986

20 February 2024 Multi-objective optimization of joint scheduling of berth and quay crane under green ports

Yang Xu

Proceedings Volume 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023); 130640R (2024) https://doi.org/10.1117/12.3015986
Event: 7th International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 2023, Dalian, China

Abstract

Due to the growing importance of maritime container transportation in the logistics system, berth and quay crane scheduling issues have been a focus of research until now. In this paper, we construct a continuous berth and quay crane joint scheduling optimization model considering carbon emission cost. Minimizing the vessel carbon emission cost, terminal operation cost and the cost of time in port for vessel are taken as multiple objectives in the model. After that, the improved immune particle swarm algorithm is used to solve the example of a port in Zhejiang to verify the effectiveness of the model and algorithm in this paper. This paper provides a reference for constructing green port.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yang Xu "Multi-objective optimization of joint scheduling of berth and quay crane under green ports", Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 130640R (20 February 2024); https://doi.org/10.1117/12.3015986

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