Abstract：The differential evolution algorithm is robust,easy to use,and requires few control parameters.However,as the search of the algorithm is of some blindness,its efficiency is limited.To improve the efficiency of the algorithm,the local enhanced operator is proposed to make some individuals of the population search around the current best individual.Numerical study is carried out using five benchmark functions,and the result is compared with that of dynamic differential evolution and particle swarm optimization.Analysis and simulation results show that the efficiency of modified differential evolution is significantly improved.
2007, Vol. 35 
