基于混沌的遗传算法种群多样性改进研究

For standard genetic algorithm is difficult to maintain population diversity issues, here it was proposed to take the Chaos to produce new populations and then filled the parent population aera where is sacred, so as to maintaining the diversity of the population , Traversing a larger probability solution space and improving the algorithm to obtain the probability of the global optimal solution.With this algorithm,the thesis provide Scaffer function as an example,giving the result compare to the typical-genetic-algorithm's. The expriments of numerical optimization showed that improved algorithm which is provided is feasible and effective.