关键词: 改进人工蜂群算法;全局寻优;收敛速度;轴流压气机

Abstract: For the purpose of exploring better global optimization algorithm and applying it on the aerodynamic optimization of axial compressors， the exploration ways of employed bees and onlookers bees in standard artificial bee colony （ABC） algorithm were improved to make better use of the overall bee colony exploration information . The improved artificial bee colony （IABC） algorithm was obtained in this way. This algorithm was tested by benchmark functions and the results showed that it can both enhance the ability of global optimization and speed up the convergence rate. The IABC algorithm and the CFD simulation method which was checked were applied on the optimization of single stage transonic axial compressor Stage35. The optimization variables included sweep， lean， Re-camber at the leading edge and the trailing edge at the six sections along the radial direction of the rotor blade and stator blade. The relative change of flow rate and pressure ratio within 0.5% were kept as a constraint and enhancing the adiabatic efficiency was as the optimization goal. The results were as follows: at the designed speed， the optimized adiabatic efficiency at designed point increased by 0.83%， the average adiabatic efficiency over whole range of condition increased by 2.0%， and the surge margin increased by 1.0% under the condition that the mass flow and the pressure ratio basically remained the same， and it verified the effectiveness of the optimization algorithm in axial compressor.

Key words: Improved artificial bee colony algorithm;Global optimization;Convergence speed;Axial flow compressor