On the base of analyzing the reasons for the slow convergence velocity and low convergence of real-code genetic algorithms for high-dimensional optimization problems, the optimal biosystem of current generation was isolated according to Euclid distance between the optimal individual and other individuals and fixing the size of optimal population. The method reducing the bounds of optimal population was adopted. We applied genetic algorithm to two subpopulation with different crossover probability and mutation probability. Obtaining the optimal point not only need a good point, but also need a ...
