Research on differential evolution algorithm: a survey
Yujia Wang · Systems engineering and electronics · 2008
Differential evolution is a relatively new population based stochastic optimization approach.It has been attracting increasing attention for it is simple,fast and robust.Unlike other evolutionary algorithms,the differential evolution uses the difference of randomly sampled pairs of vectors in the population for its mutation operators.DE is applied mainly in real parameter optimization,and outperforms other evolutionary algorithms in nonlinear and non-differentiable continuous space problems.DE has been found an increasing application in recently yeas.An aim of this paper is to summarize DE's researches and applications,and to give some further research issues.