harmonic

说明：  利用GA遗传算法解决欺骗函数最优问题，具体问题描述如下，如有问题请与我联系(The deceptive functions are a family of functions in which there exists low-order building blocks that do not combine to form the higher-order building blocks. Here, a deceptive problem that consists of 25 copies of the order-4 fully deceptive function DF2 is constructed for this paper. DF2 can be described as follows: f(0000)=28 f(0001)=26 f(0010)=24 f(0011)=18 f(0100)=22 f(0101)=6 f(0110)=14 f(0111)=0 f(1000)=20 f(1001)=12 f(1010)=10 f(1011)=2 f(1100)=8 f(1101)=4 f(1110)=6 f(1111)=30 This problem has a maximal function value of 750.)

用四阶龙格库塔法计算Lorenz混沌系统的时间序列(The time series of Lorenz chaotic system of fixed step size fourth-order Runge-Kutta method algorithm source code.)

最小二乘法数据处理软件，翻遍计算的程序，应用于各种优化算法(math caculateor)

混合储能，风机，光伏，柴油机之间的优化配置的仿真分析程序(Optimize the allocation of mixed storage, wind, solar, diesel between Simulation Software)

计算层合板各层主应力，主应变，及层合板失效强度和极限强度(The layers of laminated plate are calculated principal stress, principal strain, and the failure strength and ultimate strength of laminated plates)

一个集交互式和命令式于一体的程序，采用最小二乘法进行曲线的拟合(A set of interactive and command-style in one program, using least-squares curve fitting method)

通过C语言，实现龙格库塔法，用四阶龙格库塔法求解一阶微分方程组。(Through the C language, the realization of Runge-Kutta method with fourth-order Runge-Kutta method for solving first-order differential equations.)

研究典型相关分析的各种线性算法和非线性算法，并通过实验数据的比较说明了它们各自的特点(Canonical Correlation Analysis Study of the various linear and nonlinear algorithms algorithms, and through comparison of experimental data shows the characteristics of their respective)

说明：  Optics聚类算法 OPTICS没有显示地产生一个数据集合簇，它为自动和交互地聚类分析计算一个簇次序。这个次序代表了数据基于密度地聚类结构。它包含地信息，等同于从一个宽广地参数设置范围所获得的基于密度的聚类(Optics do not show clustering algorithm OPTICS to produce a collection of data clusters, it is automatically and interactively computing cluster analysis a cluster order. This order represents the data to cluster based on the density structure. It contains in information from a broadly equivalent range of parameters obtained by density-based clustering)

matlab in ga solving travel saleman problem.