The BP algorithm to improve the process, everyone would like to help. If necessa...

遗传算法的源程序，对于初学者有很大帮助，建议多-Genetic algorithm source code, are very helpful for beginners, the proposed multi-

这是一篇关于pso利用的文章 也许对搞人工智能的的同学有很大的用处-This is an article on the PSO may use to engage students in artificial intelligence have great usefulness

遗传算法的示例- Heredity algorithm demonstration

遗传算法解决随机期望值模型问题的例题-random genetic algorithms to solve the problem expectations model example

基于基本遗传算法的函数最优化 ，这也是本人收集的遗传算法优化软件，望对本网站有所帮助！！ -based on the basic function of genetic algorithm optimization, which I gather the genetic algorithm optimization software, look on this site help! !

首先采用某种编码方式将解空间映射到编码空间，每个编码对应问题的一个解，称为染色体或个体。一般通过随机方法确定起始的一群个体，称为种群，在种群中根据适应值或某种竞争机制选择个体，使用各种遗传操作算子产生下一代如此进化下去，直到满足期望的终止条件。-begin using some form of coding mapping to the solution space coding space, each encoding a corresponding solution to the problem, known as chromosome or individual. General randomly determined by the initial group of individuals, called stocks, the stocks based on fitness or some mechanism to choose the individual competition, the use of genetic Operator evolution of the next generation so on, until the termination meet expectations conditions.

遗传算法 遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。-Referred to as genetic algorithm genetic algorithm GA (Genetic Algorithm), in essence is a kind of do not rely on specific issues of direct search method. Genetic algorithm in pattern recognition, neural networks, image processing, machine learning, optimization of industrial control, adaptive control, biological sciences, social sciences and so on have been applied. Research in artificial intelligence, now that the " genetic algorithms, adaptive systems, cellular automata, chaos theory and artificial intelligence, are the next ten years of the computing technology have a major impact on the key technology."

基于k均值聚类学习算法的rbf神经网络实现-K-means clustering-based learning algorithm of rbf neural network

改进的遗传算法，有兴趣的可以下-Improved genetic algorithms, are interested in can be done next

遗传算法解决双变量的函数最优化问题，有按钮的界面，用bc所编，生动模拟遗传进化过程-genetic algorithm to solve the two- variable optimization function, the button interface, using bc prepared by the vivid simulation of the process of genetic evolution