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基于遗传算法的直升机总体优化设计
引用本文:朱清华,陈文轩,陈国华.基于遗传算法的直升机总体优化设计[J].直升机技术,2003(2):1-6.
作者姓名:朱清华  陈文轩  陈国华
作者单位:中国直升机设计研究所,景德镇,333001
摘    要:遗传算法是一种可以混合整型、离散型和连续型变量一起使用的新兴优化算法,在单或多目标带约束优化设计领域有广阔的应用空间。本文在算例中采用与先验法相结合的遗传算法,以总体参数为设计变量,飞行性能和结构要求为约束条件,换算生产率为目标函数,并使用罚函数法处理成无约束的适应度函数,建立优化设计模型。对本文算例计算结果进行分析,可以使遗传算法更好地应用到直升机优化设计领域。

关 键 词:遗传算法  直升机  总体优化设计  多目标  约束条件  罚函数

GENETIC ALGORITHMS IN DESIGN OPTIMIZATION OF HELICOPTER
Authors:ZHU Qing-hua  CHEN Wen-xuan  CHEN Guo-hua
Abstract:A new optimization approach, genetic algorithms (GA) , is well suited for helicopter design because of combining discrete, integer and continuous variables. Be combined with empirical method,GA is adopted to this paper. The analysis model of the design optimization is composed of design variables and objective function and constraint functions. The variables are those general parameters. The objective function is the flying efficiency of helicopter, and these constrains are the flying performances of helicopter and the requisition of helicopter structure. They are translated into an unconstrained fitness function by the penalty functions. Results of the case in this paper are presented and discussed, leading to a proposed methodology for use of a GA in the process for design of helicopter.
Keywords:helicopter preliminary design  genetic algorithms  design optimization  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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