基于混合遗传算法的进气道性能设计与优化  

Design and Optimization of Inlet Performance Based on Hybrid Genetic Algorithm

作　　者：周建兴[1] 朴英[1] 曹志松[1] 

机构地区：[1]清华大学航天航空学院,北京100084

出　　处：《计算机工程》2008年第12期233-235,共3页Computer Engineering

摘　　要：针对冲压发动机前体/进气道的性能优化设计问题,提出基于遗传算法和单纯形法的混合遗传算法。根据均匀分析提供的样本,选取气流折转角为设计变量,阻力系数、总压恢复系数、进气道升压比及三者的组合作为优化目标。通过该文设计的混合遗传算法对不同目标优化结果的比较,表明该混合遗传算法可以广泛用于目标优化,具有较强的适应能力。A hybrid genetic algorithm based on genetic algorithm and simplex method is established for the design and optimization of inlet performance.According to the sample provided by uniform method,the compressive angles are chosen as design variables,and the drag coefficient,total pressure recovery coefficient,pressure rising ratio and the combination of these three variables are designed as optimization objects.The contrasts of the different optimization results show that the hybrid genetic algorithm can implement the optimization process and demonstrate good adaptability.

关 键 词：冲压发动机 进气道 混合遗传算法 优化设计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]