A clustering method for evaluation of slope stability based on genetic algorithm
Zhou Ruilin · Sichuan Building Science · 2008
A dynamic clustering method for evaluation of slope stability is developed based on genetic algorithm.By incorporating features of the problems discussed,the corresponding genetic operators such as selection strategy,crossover operator,and mutation operator are designed to promote global search.Analyzing results show that the method is easy to find global optimum solution and can resolve the defects in the ordinary dynamic clustering methods such as sensitivity to the original cluster center and clustering results depending on the order of input patterns.