摘要
遗传算法是模拟自然界生物进化过程的一种优越的全局优化方法,但由于遗传操作的随机性,其进化过程是“暗箱操作”。本文提出进化状态可控、遗传操作具有智能功能的方法,并通过计算机模拟,验证了该算法的有效性。
Genetic algorithm is a predominant all-round optimizing method in the simulation of evolution process of species in Nature. However, due to the randomness of genetic work, the evolution process is just a 'black case work'. In this article, a method by which the evolution state is controllable and the genetic work provides smart functions is put forward. The effectiveness of the algorithm has also been proven by computer simulation.
出处
《重庆职业技术学院学报》
2004年第4期129-131,共3页
Journal of Chongqing Vocational& Technical Institute
