基于并行遗传混沌方法的UUV性能综合优化分析

摘要

从船舶快速性、操纵性和能源系统等角度出发,建立分析UUV性能的综合优化数学模型；基于遗传算法、混沌算法、分层并行思想,构造一种分层并行遗传混沌方法,并将该方法应用于求解此类综合优化问题.利用此方法,分析数学模型中的目标函数类型及性能指标权重对该优化计算问题的影响.计算结果表明,该分层并行遗传混沌方法能较好的解决此类优化问题,其计算结果稳定可靠、约束满足程度好、效率高.同时,目标函数类型的不同及性能指标权重的改变均对该优化问题有较大影响.该UUV性能综合优化方法提供了一种优化设计思路,综合性能指标较高.%Considering the rapidity,maneuverability,energy system,the synthetical optimization mathematic model on UUV's performance is established in this paper.Based on genetic algorithm,chaos algorithm and parallel thought,the parallel genetic-chaos algorithm is constructed,and it is applied to solve the problem of calculation of synthetically optimization.The method is used to analysis influence of the type of objective function and the weight of performance index in the mathematic model on optimization calculation.The calculation results show that the parallel genetic-chaos algorithm can solve such optimization problems better.It has a reliable calculation,a good degree of constraint satisfaction and high efficiency.At the same time,the different type of objective function and the change of weight of performance index have greater impact on the optimization questions.In summary,The preliminary study on synthetical optimization of UUV provides an idea of optimized design,which has better comprehensive performance indicators.