Hybrid Evolution Strategies Algorithm Based on Dynamic Demes
Ming Zhang, Jiang Hua Sui · Advanced materials research · 2012
A hybrid evolution strategies algorithm based on dynamic demes is proposed in this paper. Evolutionary strategy algorithm is likely premature, and even simulated annealing with the character of local search is impossible to escape this range, when change the population based on the maximum entropy principle so that the individual out of this range, which can quickly converge to the global optimum. The numerical computation results indicate that the algorithm can gain higher global convergence rate and higher speed