Abstract: This article proposes an optimized design method for domestically produced wind turbine rotor blades based on improved genetic algorithm. In the optimization process, a weight based method was adopted and an optimal maintenance strategy was adopted to improve its overall optimization performance and accelerate convergence rate. An optimization model was established with the objective function of maximizing wind energy utilization coefficient, and an improved genetic algorithm was used to solve it. The experimental results show that the method proposed in this paper is superior to traditional genetic algorithms and particle swarm optimization algorithms in terms of wind energy utilization coefficient, blade load distribution, and structural strength, providing new ideas for the design of wind turbine blades for domestic wind turbines.