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基于多目标遗传算法的直升机总体参数优化设计
引用本文:孙伟,张呈林.基于多目标遗传算法的直升机总体参数优化设计[J].机械科学与技术(西安),2010(2).
作者姓名:孙伟  张呈林
作者单位:南京航空航天大学直升机旋翼动力学国家级重点实验室;
摘    要:应用多目标优化问题中Pareto最优解集的概念,提出了一种基于多目标遗传算法的直升机总体参数优化设计方法。算法引入了个体的序和密度的概念,改进了变异操作算子,使用精英策略,确保能够搜索到具有较高贴近性、均匀性和完整性的Pareto解集。以UH-1H直升机为优化算例的计算结果表明:多目标遗传算法适用于解决多目标优化问题,能够改善Pareto解的质量和均匀性分布。

关 键 词:直升机  总体参数  多目标优化  遗传算法  Pareto最优解

Helicopter Preliminary Parameter Optimization Based on Multi-objective Genetic Algorithm
Sun Wei,Zhang Chenglin.Helicopter Preliminary Parameter Optimization Based on Multi-objective Genetic Algorithm[J].Mechanical Science and Technology,2010(2).
Authors:Sun Wei  Zhang Chenglin
Affiliation:National Key Laboratory of Rotorcraft Aeromechanics/a>;Nanjing University of Aeronautics and Astronautics/a>;Nanjing 210016
Abstract:With the Pareto optimal conception in a multi-objective optimization problem( MOP) ,a kind of helicopter preliminary parameter optimization method based on multi-objective genetic algorithm( MOGA) was proposed. The algorithm defined the rank and density of the population,and improved the mutation operator. These strategies had the same purpose for searching a near-optimal,uniformly distributed,and near-complete Pareto front for a given MOP. A UH-1H helicopter was taken as an example,and the solution indicat...
Keywords:helicopter  preliminary parameter  multi-objective optimization  genetic algorithm  Pareto optimum  
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