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针对随机优化算法计算量大和最优响应面法容易陷入局部最优的缺点,采用EI最优策略综合平衡响应预测值及预测精度,建立了高效的优化系统.使用该方法进行了翼型气动外形优化设计,结果表明该方法将翼型阻力系数降低22%,具有良好的优化精度,而总计算耗时与粒子群算法相比约降低68%,说明了该方法的可行性和有效性.
Aiming at the shortcomings that the computational complexity of the stochastic optimization algorithm is large and the optimal response surface method is easy to fall into the local optimum, an efficient and optimized system is established by using the comprehensive forecasting value of the equilibria response and the prediction accuracy of the EI optimal strategy. The airfoil aerodynamic shape The results show that this method can reduce the airfoil drag coefficient by 22% and has good optimization accuracy. The total computational cost is reduced by about 68% compared with the particle swarm optimization algorithm, which shows the feasibility and effectiveness of the proposed method.