Research on optimization design method of ship's living compartment layout based on multi-population genetic algorithm

基于多种群遗传算法的舰艇生活舱室布局优化设计方法研究

¹ School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China
² Key Laboratory of Industrial Design and Ergonomics, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi'an 710072, China
³ Wuhan Second Ship Design and Research Institute, Wuhan 430205, China

Received: 18 February 2024

Abstract

The optimization of ship compartment layout needs to consider aspects such as the mutual positions of compartments, passage relationships, comfort, and convenience. Taking the submarine living compartment segment as an example, this paper, based on the characteristics of submarine compartment layout, introduces a fuzzy evaluation method to comprehensively analyze the relative positions of compartments. It combines emergency evacuation needs to establish a compartment layout optimization model. Additionally, adaptive improvements are made to the genetic operations of the multi-population genetic algorithm, enhancing its applicability to the optimization design of multi-layered ship compartments. Simulation design analysis indicates that the proposed layout optimization design method can provide designers with various reference layout optimization solutions in a short period. Moreover, the improved multi-population genetic algorithm can largely avoid premature convergence into local optima. It effectively addresses the optimization problem of ship compartment layout, thereby improving the efficiency of compartment layout optimization design.

摘要

舰艇舱室布局优化需要考虑舱室之间的相互位置、通行关系、舒适性、便捷性等方面。以潜艇生活舱段为例, 根据潜艇舱室布局特点, 引入模糊评价方法综合分析舱室相对位置关系, 结合应急逃生需求建立舱室布局优化模型。对多种群遗传算法的遗传操作进行适应性改进, 使其更好地应用于舰艇多层舱室布局优化设计。仿真设计分析表明, 文中提出的布局优化设计方法可以在较短时间内向设计人员提供多种可参考的布局优化方案, 并且改进的多种群遗传算法可以较大程度避免提早收敛陷入局部最优的情况, 能够较好地解决舰艇舱室布局优化问题, 提高舱室布局优化设计效率。