A bidirectional collaborative method based on an improved artificial fish swarm algorithm for ship pipe and equipment layout design
Author:
Funder
China National Nuclear Corporation
Publisher
Elsevier BV
Reference45 articles.
1. Mathematical optimization approaches for facility layout problems: the state-of-the-art and future research directions;Anjos;Eur. J. Oper. Res.,2017
2. Part arrangement optimization in ship engine room based on the genetic algorithm;Arta;AIP Conf. Proc.,2020
3. Routing Framework for Detailed Ship Design;Asmara,2013
4. A methodology for solving facility layout problem considering barriers: genetic algorithm coupled with A* search;Besbes;J. Intell. Manuf.,2020
5. A note on two problems in connexion with graphs;Dijksta;Numer. Math.,1959
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1. Method for Collaborative Layout Optimization of Ship Equipment and Pipe Based on Improved Multi-Agent Reinforcement Learning and Artificial Fish Swarm Algorithm;Journal of Marine Science and Engineering;2024-07-15
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