Identification of Control Parameters Using Taguchi Method for Hybrid Real-Binary Differential Evolution Algorithm and Its Applications in Electromagnetic Optimization
Population size , inertia weight for binary part , the upper and lower boundaries of inertia weights for real part ,, accelerating coefficients , and the maximum velocities for real part and binary part, ,
Population size , the scaling factor , the crossover probabilities for real variables , and binary variables , mutation strategy: DE/best/1
Population size , the upper and lower boundaries of scaling factors and , the crossover probabilities for real variables , and binary variables , mutation strategy: DE/rand/1
Population size , the upper and lower boundaries of scaling factors and , the crossover probabilities for real variables , and binary variables , novel mutation strategy selection from DE/best/1 and DE/rand/1