Application of genetic algorithm incorporating simulated annealing to ship compartment layout

Jinghua Li; Jiawang Wang; Qinghua Zhou; Boxin Yang

doi:10.1117/12.2641444

20 September 2022 Application of genetic algorithm incorporating simulated annealing to ship compartment layout

Jinghua Li, Jiawang Wang, Qinghua Zhou, Boxin Yang

Author Affiliations +

Proceedings Volume 12261, International Conference on Mechanical Design and Simulation (MDS 2022); 1226142 (2022) https://doi.org/10.1117/12.2641444
Event: Second International Conference on Mechanical Design and Simulation (MDS 2022), 2022, Wuhan, China

Abstract

Compartment arrangement is the typical multi-objective combined optimization problem. In order to solve this problem, a more complete mathematical model is established in this paper. In addition to adjacent intensity objective and circulation intensity objective in previous studies, the distant intensity objective and noise vibration objective are designed to establish this model. The Dijkstra algorithm is used for more accurate calculation of the inter-compartment circulation distance. The genetic algorithm is improved by introducing the Metropolis acceptance criterion in the simulated annealing algorithm. Finally, the simulation result confirmed the feasibility and superiority of the designed method in this paper, which enhances the scientificity of the compartment arrangement decision process and improves the design efficiency.

Citation Download Citation

Jinghua Li, Jiawang Wang, Qinghua Zhou, and Boxin Yang "Application of genetic algorithm incorporating simulated annealing to ship compartment layout", Proc. SPIE 12261, International Conference on Mechanical Design and Simulation (MDS 2022), 1226142 (20 September 2022); https://doi.org/10.1117/12.2641444

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