模拟退火算法在透平叶栅多目标优化设计中的应用

Simulated Annealing Algorithm Applied to Optimize Design of Turbine Cascades

将模拟退火算法与透平叶栅跨音速粘流气动计算相结合，并将其应用于透平叶栅的多目标优化设计．在多目标优化设计中，采用最小偏差法，并以叶栅的损失系数和做功能力为目标函数进行了优化设计．优化结果表明，此方法能够克服传统优化算法极易陷入局部极值的缺点，因而得到了比传统算法更优的设计方案．

Simulated annealing algorithm is applied to optimize design of turbine cascades involving the computation of transonic viscous flow. Use is made of multi objective functions by the minimum deviation method with due consideration given to the loss coefficient and work potential of the cascade. The optimization results indicate that the algorithm overcomes the default of the local extreme values traditional optimization algorithms are easy to trap into, thus it can obtain the better solution than traditional ones.