matlab-power-research

遗传算法matlab代码 Genetic Algorithmmatlab CODE

本程序特别适合于弹道计算等方面使用。比ODE45函数的速度加快了很多，且程序充分展示了Matlab向量运算的强大功能，以及编程的简单快捷。(The program is especially suitable for ballistic calculation such as the use of. Than the ODE45 function more quickly, and it shows the powerful function of Matlab vector operations, and programming is simple and quick.)

kalman滤波算法应用matlab语言来实现。(kalman filter matlab )

基于Matlab/simulink的小电流接地系统单向故障仿真分析，包涵中性点不接地系统仿真和中性点经消弧线圈接地系统仿真模型(Based on Matlab/simulink small current grounding system unidirectional fault simulation analysis, bear with ungrounded neutral system simulation and arc suppression coil grounding system simulation model)

Heterogeneous Cellular Networks (Heterogeneous networks, multiple tier networks) simulation by matlab 异构网（异构蜂窝网，多层异构网）matlab 建模。(Heterogeneous Cellular Networks (Heterogeneous networks, multiple tier networks) simulation by matlab )

这是matlabdaima,用来计算RBF输出值很有效(This is matlabdaima, used to calculate the RBF output is valid)

LDA，即线性判别分析。本程序介绍了经典的LDA算法，希望能对各位读者有所帮助。(LDA, namely linear discriminant analysis. This program introduces the classical LDA algorithm, hoping to help all of you readers.)

该软件包包括半监督算法S4VM，对无标签数据不产生衰退现象，或安全半监督算法的MATLAB代码。(The package includes the MATLAB code of the semi-supervised algorithm S4VM, which towards making unlabeled data never hurt, or safe semi-supervised algorithm.)

Abstract—We propose two novel energy-aware routing algorithms for wireless ad hoc networks, called reliable minimum energy cost routing (RMECR) and reliable minimum energy routing (RMER). RMECR addresses three important requirements of ad hoc networks: energy-efficiency, reliability, and prolonging network lifetime. It considers the energy consumption and the remaining battery energy of nodes as well as quality of links to find energy-efficient and reliable routes that increase the operational lifetime of the network. RMER, on the other hand, is

This is an implementation of Particle Swarm Optimization algorithm using the same syntax as the Genetic Algorithm Toolbox, with some additional options specific to PSO. Allows code-reusability when trying different population-based optimization algorithms. Certain GA-specific parameters such as cross-over and mutation functions will not be applicable to the PSO algorithm. Demo function included, with a small library of test functions. Requires Optimization Toolbox.