maximum function for the genetic algorithm source code Matlab

这个是关于遗传算法的比较完整的C语言程序，个人觉得还是比较有参考价值。-on the genetic algorithm is relatively complete C language program, individuals think it is quite a reference value.

很好的程序，MATLAB-good procedures, MATLAB

遗传免疫是算法的程序 大家可以看看 遗传免疫算法 我也是刚开始学 传上去大家共同学习-Genetic immunization is a method of procedure we will look at the genetic immune algorithm I am also just beginning to learn Chuan-up of common learning

【机器学习】文本分类源代码 【机器学习】文本分类源代码 -] [Machine learning text classification source code] [machine learning text classification source code

使用anfists的sugeno-type对混沌时间序列预测。-the use anfists Sugeno-type of chaotic time series prediction.

多目标优化问题，此例中经遗传算法优化子代个体数目逐步减少，最后稳定在10个染色体个体-Multi-objective optimization problem, in this case, by the genetic algorithm to gradually reduce the number of offspring individuals, and finally stabilized at 10 chromosome individual

针对现有遗传算法在多维非线性优选方面的不足，本文提出了一种基于小生境进化算法（NEA）的非线性优选模型，探讨了NEA算法的参数选择原则。通过大量仿真和比较，表明算法在复杂非线性优选中具有快速、高效、鲁棒性强的特点，并能在全局范围内有效搜索所有最优解。 -against existing genetic algorithms in three-dimensional nonlinear optimization for the shortage, the paper presents a niche evolutionary algorithm (NEA) nonlinear optimization model, the NEA on the parameters chosen algorithm principle. Through simulation and large, the algorithm shown in a complex nonlinear optimization is fast, efficient, robust features of the strong, and the global scope effective search all the optimal solution.

一个用人工免疫算法实现的TSP源程序 免疫算法实现的TSP源程免疫算法实现的TSP源程-An artificial immune algorithm to achieve the TSP source of immune algorithm to achieve the source of the TSP process of immune algorithm to achieve the source of TSP-way

非线性规划中求解无约束问题中的一个有效方法--模矢法(步长加速法),并用图表示出来步骤.-Nonlinear Programming Solution unconstrained problem of an effective method-- vector mode (step acceleration), and using map out steps.

LIBSVM源码。LIBSVM 是台湾大学林智仁(Chih-Jen Lin)博士等开发设计的一个操作简单、 易于使用、快速有效的通用SVM 软件包，可以解决分类问题（包括C- SVC、 n - SVC ）、回归问题（包括e - SVR、n - SVR ）以及分布估计（one-class-SVM ） 等问题，提供了线性、多项式、径向基和S形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。-LIBSVM source. LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.