基于遗传算法的气垫船主尺度优化设计研究  

Principal Dimensions Optimization of Air Cushion Vehicle Based on Genetic Algorithms

作　　者：褚胡冰 张海鹏 刘一 CHU Hu-bing;ZHANG Hai-peng;Liu Yi(Marine Design&Research Institute of China,Shanghai 200011,China)

机构地区：[1]中国船舶及海洋工程设计研究院,上海200011

出　　处：《船舶》2018年第6期109-116,共8页Ship & Boat

摘　　要：将总体性能计算模块与遗传算法相结合,建立了一种气垫船主尺度及总体性能自动优化方法。基于该方法,在限定的主机功率、航速、海况及主尺度参数变化范围内,以运输效率最优为目标,开展了气垫船主尺度优化设计研究。研究显示:遗传算法具有很强的全局寻优能力,且能够有效处理单目标和多目标优化问题;基于遗传算法的自动优化方法所优选确定的主尺度方案具有更高的运输效率,表明该方法在气垫船总体方案论证及总体性能优化设计方面可发挥重要作用。Combining the overall performance calculation module with the genetic algorithm,this paper develops an automatic optimization approach for the principal dimensions and the overall performance of the air cushion vehicles.Based on this approach,it carries out the principal dimensions optimization design of the air cushion vehicles aiming at the optimum transport efficiency within the restricted power,speed,sea states and the parametric variation range of the principal dimensions.The results indicate that the genetic algorithm has great global optimization ability,and can effectively solve the single-objective optimization and the multi-objective optimization problems.The principal dimensions scheme that determined by the automatic optimization method based on the genetic algorithm has greater transport efficiency,showing that this approach can play an important role in the scheme demonstration and the overall performance optimization of the air cushion vehicle.

关 键 词：气垫船 主尺度优化 遗传算法 单目标优化 多目标优化 

分 类 号：U674.943[交通运输工程—船舶及航道工程]