摘要
通过对优化问题的表述,说明传统确定性优化与稳健优化的区别。稳健优化需进行不确定性分析,同时追求系统的性能优化、性能偏差最小化、设计可行性稳健化。然后分别探讨了气动设计中确定性优化和稳健优化模型的建立及求解策略。根据不确定性分析方法的特点,选择基于代理模型的不确定性气动遗传优化分析方法。通过具体翼型优化实例讨论了稳健性优化与确定性优化的不同,并将结果进行对比,得出一定的结论。
According to the description of the optimization problem, it presents the differences between the robust optimization and the deterministic optimization. The robust optimization needs the uncertainty analysis and pursues the performance and its deviation optimizing. Here we discuss the model formulations of the two optimization problem and because of the characteristic of the uncertainty analysis, we choose the surrogate model to carry out the genetic optimization. Finally, we give two optimization examples of airfoil and their conclusion.
出处
《航空计算技术》
2010年第2期28-31,共4页
Aeronautical Computing Technique
关键词
确定性优化
稳健优化
代理模型
多岛遗传算法
翼型
deterministic optimization
robust optimization
surrogate model
multi- island genetic algorithm
airfoil
