Solving the 3D container ship loading planning problem by representation by rules and meta-heuristics-Reference-Cited by-同舟云学术

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Solving the 3D container ship loading planning problem by representation by rules and meta-heuristics

Published:2014 Issue:3 Volume:6 Page:228
ISSN:1755-8050
Container-title:International Journal of Data Analysis Techniques and Strategies
language:en
Short-container-title:IJDATS

Author:

Azevedo Anibal Tavares De,Ribeiro Cassilda Maria,Sena Galeno José De,Chaves Antônio Augusto,Neto Luis Leduíno Salles,Moretti Antônio Carlos

Publisher

Inderscience Publishers

Subject

Applied Mathematics,Information Systems and Management,Information Systems

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing multi-port container stowage efficiency: A novel DQN-LNS algorithmic solution;Knowledge-Based Systems;2024-09

2. Optimization of Dangerous Goods Stowage: A Hybrid Approach between Faster R-CNN and Coronavirus Metaheuristic;2023 IEEE International Conference on Big Data (BigData);2023-12-15

3. Literature survey on the container stowage planning problem;European Journal of Operational Research;2023-12

4. Towards a Deep Reinforcement Learning Model of Master Bay Stowage Planning;Lecture Notes in Computer Science;2023

5. Integrated Containership Stowage Planning: A Methodology for Coordinating Containership Stowage Plan and Terminal Yard Operations;Sustainability;2022-10-17

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