基于并行策略遗传算法对双体无人艇性能进行综合优化分析。首先建立以快速性、操纵性、抗倾覆性和耐波性为目标函数的综合优化数学模型，并使用响应面拟合的方法建立了3种不同的阻力数据库，通过遗传算法对其进行优化分析选出一组最适合本文的阻力数据库。在此基础上选取5个设计变量作为敏感变量进行讨论，其中最为敏感的2个变量将进行并行策略运算，根据计算分析得到双体无人艇最终优化结果。通过以上计算不仅可证明所构建的优化软件可行性，同时还证明采用并行策略遗传算法可以有效提高算法的优化效果。
Based on the parallel strategy genetic algorithm, this paper conducts a preliminary comprehensive optimization analysis on the performance of a catamaran unmanned vehicle. First of all, a comprehensive optimization mathematical model with the objective functions of rapidity, maneuverability, anti-overturning and seakeeping is established, and three different resistance databases are established by using response surface fitting method, and a group of resistance databases most suitable for this paper is selected through genetic algorithm optimization analysis. Secondly, on this basis, five design variables are selected as sensitive variables for discussion, among which two variables are the most sensitive ones for parallel strategy calculation, and the final optimization results of this paper are obtained based on calculation and analysis. The above calculation can not only prove the feasibility of the optimized software, but also prove that the parallel strategy genetic algorithm can effectively improve the optimization effect of the algorithm.
2022,44(2): 98-103 收稿日期：2020-09-19
DOI：10.3404/j.issn.1672-7649.2022.02.018
分类号：U674.951
作者简介：黄晓钰(1996-)，女，硕士研究生，研究方向为船舶性能优化
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