遗传算法是一种优化搜索算法,它直接对对象群体进行操作,对函数不存在求导和连续性的限定,能自动获取搜索过程中的有关知识,并且用来指导优化和自适应的调整搜索方向,具有内在隐并行性和较好的全局寻优能力,鲁律性很突出。现已广泛地应用于函数组合优化、信号处理、机器学习、知识发现、自适应控制和人工智能等领域。我们考虑将遗传算法应用到下面的最优化问题,对于二 Genetic algorithm is an optimization search algorithm, which directly manipulates the object group, does not exist the derivation of the function and the continuity of the definition, can automatically obtain the knowledge of the search process, and used to guide the optimization and adaptive adjustment search Direction, with the inherent hidden parallelism and better global optimization ability, Lu law is very prominent. Now widely used in functional combinatorial optimization, signal processing, machine learning, knowledge discovery, adaptive control and artificial intelligence and other fields. We consider applying the genetic algorithm to the following optimization problem, for two