A Comparative Study on the Different Process of Mutation of Differential Evolution

Differential evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms in current use. DE operates through similar computational steps as employed by a standard evolutionary algorithm (EA). Over the last few decades, a number of Differential Evolution (DE) algorithms have been proposed with excellent performance on mathematical benchmarks. However, like any other optimization problems, the efficiency of Differential evolution is highly dependent on the process of mutation which contributes the donor vector. While testing the algorithm using different benchmark functions, convergence of the result varies with the variety of the test functions as well as with the different process of mutation. In this paper, a comparative study has been made on different process of mutation in DE Family of Storn and Price applied on different benchmark functions. KeywordsDE, Mutation, binomial crossover, optimization, benchmark function