TU Li.Differential evolution algorithm with local search strategy
Li Tu · Computer Engineering and Applications Journal · 2009
At present,the hybridization of Differential Evolution(DE) with local search method confines to DE with a crossover based local search method.A novel differential evolution algorithm with best-individual based Local Search strategy(LSDE) is proposed.In LSDE,a normal distribution operator is introduced to automatically modify search length,and time-varying factors are introduced to modify the two parameters of DE.The experiment results show that except for one function,the ability of finding the optimal solutions using LSDE is better than that of using DE and differential evolution algorithm based on chaos searching (CDE),and the convergence speed of LSDE is quicker than that of DE.