An integrated

three-dimensional

multi-disciplinary optimization design system for turbine blades has been set up

which enables the design and analysis of certain blades optimized involving five disciplines.In this system

quintic polynomial is used for parameter modeling of three-dimensional turbine blades

and unit linear interpolation method used for transfer of interdisciplinary load information

while MIGA(Multi-island Genetic Algorithm) and SQP(Sequential Quadratic Programming) are used for overall optimization.The case study shows that

optimization efforts could improve greatly the performance of turbine blades

and the system exhibits higher stability

feasibility and efficiency for engineering applications.