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.
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