一种基于复形调优遗传算法的多学科优化方法

建立良好的优化方法，是多学科设计优化（multidisciplinary design optimization, MDO）求解的关键和难点。结合具有全局搜索能力的遗传算法和局部收敛特性的复形调优算法的优势，建立了全局优化算法，并将全局优化算法应用于多学科可行（multidisciplinary feasible, MDF）方法的多学科分析模型求解，建立了两级优化MDF（double optimization MDF, DO-MDF）方法和单级优化MDF（single optimization MDF, SO-MDF）方法两种计算构架。以CASCADE系统产生的多学科问题求解为例，对比5种计算构架对MDO求解的优化结果，结果表明，DO-MDF、SO-MDF两种计算构架通过有效关联学科分析的前馈信息流表现出更好的计算能力。

Multidisciplinary optimization method based on complex optimization genetic algorithm

To improve the reliability of multidisciplinary design optimization(MDO) solving,this paper proposes a new global optimization genetic algorithm called GACOM by combining the genetic algorithm which has good global searching capability and the complex algorithm which has local convergence characteristic.Then this paper establishes double optimization MDF(DO-MDF) and single optimization MDF(SO-MDF) by applying GACOM to the system analysis solution of multidisciplinary feasible(MDF).Finally,by contrasting the...