Abstract： The multi-object optimization method for hydraulic machinery blades was proposed based on NSGA-Ⅱ algorithm. In the method, shape parameters of the blades were used as optimization variables, energy and cavitation performances were used as objective functions, and the multi-object optimization for the guide vane blade surface in a water power plant was carried out. The obtained results showed that the total pressure loss reduced by 26.97%, and the minimal pressure in guide vane increased by 34.176%. For the optimized guide vanes, the loss was reduced, and the cavitation performance was improved. It is concluded that the multi-object optimization method presented can control the blade profiles by using fewer variables and is available for both effectively analyzing the influence of every design variable on objective function and reducing the scale of the optimization question. So it is a valid optimization design tool for hydraulic machinery blades.
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