MATLAB Implementation of Genetic Algorithm for Wind Turbine Blade Optimization

This program implements a genetic algorithm in MATLAB specifically tailored for wind turbine blade optimization design. The code includes core genetic algorithm components such as population initialization, fitness function calculation for blade performance evaluation, tournament selection, single-point crossover with adaptive rates, and mutation operations with constraint handling. Through this implementation, we can optimize wind turbine blade design parameters to enhance aerodynamic performance and energy efficiency. The program allows researchers to analyze how different design variables (chord length, twist distribution, airfoil parameters) impact blade performance and identify optimal configurations through iterative evolution. As an educational tool, it demonstrates practical application of genetic algorithms with visualization of convergence curves and population dynamics. The modular code structure enables comparison with other optimization algorithms like particle swarm optimization or gradient-based methods to determine the most effective approach for wind turbine blade design. Through collaborative discussion and code enhancement, we can collectively advance this research to contribute to renewable energy technology development.