Research and application of pseudo parallel differential evolution algorithm with dual subpopulations
Xiaofang Yuan · Control theory & applications · 2007
To improve the global searching ability and convergence speed of differential evolution algorithm(DE),a pseudo parallel differential evolution algorithm with dual subpopulations(DSPPDE)is proposed in this paper.Combining with the properties of good local searching ability and fast convergence speed of DE/best/2/bin mutation scheme and the properties of good global searching ability and robustness of DE/rand/1/bin mutation scheme,the algorithm employs the ideal of isolated evolution and information exchanging in parallel DE algorithm by serial program structure.To diversify the initial individuals in the search space and improve the robustness of convergence to the global optimum,an initialization tactic based on the mean entropy is proposed.The tests of several classic Benchmarks functions and the parameters estimation result of a nonlinear system model show that the proposed algorithm can improve the convergence speed and the global searching ability greatly.