A Study on Container Storage Optimization in Yards Based on a Hyper-Heuristic Algorithm with a Q-Learning Mechanism

In the context of a low-carbon economy, scientific methods to reduce carbon emissions have become an important issue for many ports. Carbon emissions in port areas mainly arise from vessels and handling equipment. Therefore, an effective resource assignment and equipment arrangement system could not...

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Veröffentlicht in:	International journal of computational intelligence systems Jg. 18; H. 1; S. 163 - 24
Hauptverfasser:	Chen, Lifen, Lin, Jiajun, Xu, Shihao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 30.06.2025 Springer Nature B.V Springer
Schlagworte:	Algorithms Artificial Intelligence Carbon Carbon emissions Computational Intelligence Container rehandling operation Containers Control Efficiency Emissions Energy consumption Engineering Genetic algorithms Handling equipment Heuristic Heuristic algorithm Heuristic methods Hyper-heuristic algorithm Integer programming Linear programming Literature reviews Machine learning Maritime industry Mathematical Logic and Foundations Mechatronics Mixed integer Optimization Optimization algorithms Ports Research Article Robotics Simulation Hyper-heuristic algorithm Heuristic algorithm Carbon emissions Container rehandling operation
ISSN:	1875-6883, 1875-6891, 1875-6883
Online-Zugang:	Volltext
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