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Wiley - Antenna and EM Modeling with MATLAB CHAPTER5

基于fdtd算法的一维程序，采用matlab进行编写，简单易懂(Fdtd algorithm based on one-dimensional program, using matlab to prepare, easy to understand)

关于MATLB中解决信号与系统中临时采样信号函数的完整的源代码(On signal and system temporary sampling signal function MATLB addressed with full source code)

采用中心旋转法来进行曲波变换，带有几个demos。方便的进行curvelet变换(Center of rotation method used to carry out curvelet transform, with a few demos. Convenient for curvelet transform)

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.)

PATTERN RECOGNITION 4THD EX1 裡面有相關程式碼，.m 檔對應題號 有 readme 參考(PATTERN RECOGNITION 4THD EX1 There are related code. M file corresponding to the Question Readme reference)

基于蚁周系统带有随机选择概率的MATLAB代码(MATLAB code based ant system with randomly selected week probabilities)

谢菲尔德遗传算法工具箱/解决遗传算法优化的一些问题(Sheffield genetic algorithm toolbox/solve some of the problems of genetic algorithm optimization)

米散射相函数对比，包括散射相函数抽样，不同波长，不同折射率(The contrast of the phase function of the rice scattering, including the scattering phase function sampling, the different wavelengths and the different refractive index)

matlab to show stock situation