DIFFERENTIAL EVOLUTION

Storn and Price in 1995 projected differential evolution (DE) algorithm, which belongs to EAs [11]. It is similar to genetic algorithm as for optimal solution searches the individual populations are used. In DE, arithmetic combinations of individuals are called mutation, whereas in genetic algorithm small modifications to an individual’s genes are called mutations. Hence, DE mutation is not dependent upon a predefined probability density function. DE implementation is simple and shows fast convergence. Greedy nature causes noise effect on the performance of DE [12].