Aerodynamic optimization for the transonic compressor stator blade

The two-dimensional transonic compressor stator was aerodynamically optimized as multi-objective problems (MOPs) using Multi-Objective Genetic Algorithms (MOGAs). For objective functions, minimization of the pressure loss coefficient and the deviation outflow angle were considered at the design flow condition. To make optimization a more realistic flow condition, an objective function for an incidence toughness, which is under an off-design flow condition, was proposed. A three dimensional space that consisted of the above three objectives made the Pareto surface, providing the trade-off relationship among them.