Genetic algorithm begins with a group of initial feasible solutions , achieves the global effective search of the feasible field with the only information object function and converges to the global optimum value with the probability 1 , this kind of nicer characteristic make the genetic algorithm a useful tool for combination and function optimization . the genetic algorithm becomes the research hotspot in the field of computational intelligence 遺傳算法從一組初始可行解出發(fā)在只需要目標(biāo)函數(shù)這一信息的條件下實現(xiàn)對可行域的全局高效搜索并以概率1收斂到全局最優(yōu)解,這種良好的特性使得遺傳算法成為組合優(yōu)化和函數(shù)優(yōu)化的有力工具,并成為計算智能領(lǐng)域的研究熱點。