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Volumn , Issue , 2006, Pages 670-675
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A new reinforcement learning for group-based marshaling plan considering desired layout of containers in port terminals
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Author keywords
Binary tree; Block stacking problem; Container marshaling; Q learning; Reinforcement learning
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Indexed keywords
ALGORITHMS;
BINARY TREES;
COMPUTER SIMULATION;
FREIGHT TRANSPORTATION;
PORTS AND HARBORS;
PROBLEM SOLVING;
BLOCK STACKING PROBLEM;
CONTAINER MARSHALING;
MARSHALING PLAN;
Q-LEARNING;
REINFORCEMENT LEARNING;
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EID: 34250181383
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: None Document Type: Conference Paper |
Times cited : (11)
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References (8)
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