Research on artificial intelligence-driven container relocation problem for green ports

Research on artificial intelligence-driven container relocation problem for green ports

IntroductionContainer relocation in port yards represents a canonical NP-hard problem, characterized by high-dimensional nonlinear constraints and stringent real-time decision-making requirements.MethodsThis study proposes a unified framework integrating an Intelligent Decision-Driven Model (IDDM),...

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Bibliographic Details
Main Authors: Sisi Zheng, Jin Sha, Yinying Kong, Yougan Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Marine Science
Subjects:
green ports
container relocation problem
artificial intelligence
intelligent decision-driven model
adaptive data generator
closed-loop framework
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2025.1614356/full
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