Research on differential evolution algorithm based on Gauss mutation and its application
LU Qing-bo · Gongcheng sheji · 2012
In order to balance the convergence rate and the global searching ability and overcome the premature convergence of the differential evolution algorithm,a modified differential evolution algorithm based on Gauss mutation(GMDE) was proposed.The paper provided a detailed analysis of population diversity descent and individual stagnant evolution and then incorporated the Gauss mutation into differential evolution.The optimization performance of GMDE was evaluated and the results of numerical simulation and two engineering optimization design examples show that the proposed algorithm can overcome the premature convergence efficiently and can obtain a better balance of convergence rate and the global searching ability.