MATLAB

5个基本的解决VRP问题的MATLAB程序之四(5 basic MATLAB program to solve the problem of VRP 4)

用于对ABAQUS的INP文件进行修改 能够实现基于节点坐标变化的网格的重新划分(ABAQUS is used to modify the INP file to node-based grid coordinates of the re-classification change)

黑体辐射光谱与波长关系，前两阶第二类变型贝塞尔曲线，光波导芯层导模的传播常数，啁啾光栅光谱，LP模的归一化辐射曲线(Blackbody radiation spectrum versus wavelength, the former two-stage variant of the second category Bezier curves, optical waveguide core guided mode propagation constant, chirped grating spectrometer, LP mode normalized radiation curve)

DCSK QCSK CS-DCSK系统仿真 以及说明 可用 经过测试 (DCSK SYSTEM)

ANFIS: Adaptive Neuro-Fuzzy Inference Systems

System damping model in simulink by a system springs, automovile

遗传算法优化BP神经网络，关于y=x1平方+x2平方的(BP neural network genetic algorithm, y = x1square+ x2 square)

its a file concatanation program

matlab中添加噪声的程序代码matlab中添加噪声的程序代码matlab中添加噪声的程序代码matlab中添加噪声的程序代码matlab中添加噪声的程序代码matlab中添加噪声的程序代码matlab中添加噪声的程序代码(Add noise matlab code matlab code to add the noise added to noise matlab code to add the noise matlab code to add the noise matlab code to add the noise matlab code matlab code to add the noise)

说明：  基于CRAFT的多阶段柔性设备布局优化算法 　　多阶段设备布局下的总成本包括设备拆装成本、物料搬运成本以及区域利用成本,问题的目标是最小化总成本。首先,在分析问题的基础上,建立基于多阶段设备布局优化目标的数学模型 其次,采用改进的CRAFT启发式算法优化单阶段设备布局 进一步,提出基于单阶段设备布局算法的多阶段启发式算法,优化多阶段设备布局 最后,数值实验表明算法优化后总成本降幅达28.57％. (CRAFT-based multi-stage flexible equipment layout optimization algorithm under the multi-stage equipment, the layout of the total cost including equipment disassembly cost, material handling costs as well as regional use of cost, the goal is to minimize the total cost. First of all, the analysis of the problem on the basis of the equipment based on the layout of multi-stage mathematical model of optimization objectives Secondly, the adoption of improved CRAFT heuristic algorithm to optimize the layout of single-stage device to further, based on equipment layout algorithm for single-stage multi-stage heuristic algorithm, optimize the layout of multi-stage equipment Finally, numerical experiments show that the optimized algorithm for the total cost of 28.57 percent decrease.)