Multi-objective optimization of collaborative scheduling for inland river port

Efficient port coordination is crucial, particularly in coastal inland river ports, where optimizing river-sea intermodal transport scheduling is a primary focus. This study delves into port and waterway dynamics, analyzing factors such as berth preferences, vessel inspections, and planning periods that impact ship schedules. We propose an advanced NSGA-III algorithm to minimize berth deviation costs and scheduling time while maximizing berth utilization. An evaluation using a seven-day dataset from coastal inland river ports shows that NSGA-III outperforms NSGA-II and the original scheme by 30.81%, 13.73%, and 12.11% in objective values, respectively.

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Published
2024-12-20
DOI
https://doi.org/10.1117/12.3054826
Primary Topic
Maritime Ports and Logistics
Type
article
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article

Multi-objective optimization of collaborative scheduling for inland river port

Helong Shen, Shiting Yang
Maritime Ports and Logistics
article

Multi-objective optimization of collaborative scheduling for inland river port

Helong Shen, Shiting Yang
article en

Abstract

Efficient port coordination is crucial, particularly in coastal inland river ports, where optimizing river-sea intermodal transport scheduling is a primary focus. This study delves into port and waterway dynamics, analyzing factors such as berth preferences, vessel inspections, and planning periods that impact ship schedules. We propose an advanced NSGA-III algorithm to minimize berth deviation costs and scheduling time while maximizing berth utilization. An evaluation using a seven-day dataset from coastal inland river ports shows that NSGA-III outperforms NSGA-II and the original scheme by 30.81%, 13.73%, and 12.11% in objective values, respectively.

Dalian Maritime University (CN)
Openalex Percentile: Top 65%
Maritime Ports and Logistics
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