solver_Eq

说明：  自适应遗传算法MATLAB源程序，供遗传算法初学者学习(Adaptive Genetic Algorithm MATLAB source code for genetic algorithm for beginners to learn)

变压变频调速 matlab simulink仿真(AC motor double closed loop speed control system MATLAB simulation)

matlab量化择时模型回测代码，matlab量化择时模型回测代码(Optional model to quantify when backtesting matlab code)

能量熵的计算，包含特征值与特征向量的提取、训练样本以及最后的识别，含噪脉冲信号进行相关检测,有循环检测，周期性检测，IDW距离反比加权方法，在matlab环境中自动识别连通区域的大小。( Energy entropy calculation, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Noisy pulse correlation detection signal, There are cycle detection, periodic testing, IDW inverse distance weighting method, Automatic identification in the matlab environment the size of the connected area.)

Based on Matlab,Gauss Iteration Method (Based on Matlab, Gauss Iteration Method)

This is dynamic matlab code for tsp, an optimization program

求信噪比的MATLAB源代码，用于通信系统学习(the matlab code for work out the SNR，for communication study)

This paper propose a Firefly algorithm (FA) for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total real power losses and to improve the voltage profile. FA is a metaheuristic algorithm which is inspired by the flashing behavior of fireflies. The primary purpose of firefly’s flash is to act as a signal system to attract other fireflies. Metaheuristic algorithms are widely recognized as one of the most practical approaches for hard optimization problems. The most attractive feature of a metaheuristic is that its application requires no special knowledge on the optimization problem. In this paper, IEEE 33- bus distribution test system is used to show the effectiveness of the FA. Comparison with Shuffled Frog Leaping Algorithm (SFLA) is also given.

说明：  可以用来计算 二阶锥优化等重要问题， 非常非常 有用 可求解凸优化问题(Use SeDuMi to Solve LP, SDP and SCOP Problems: Remarks and Examples* * This file was prepared by Wu-Sheng Lu, Dept. of Electrical and Computer Engineering, University of Victoria, and it was revised on December 2, 2009. The name of the toolbox, SeDuMi, stands for self-dual minimization as it implements a self-dual embedding technique for optimization over self-dual homogeneous cones. Below we give comments on the usage of this software for the solution of LP, SDP, and SOCP problems. Numerical examples are included for illustration purposes. Some of the examples are from the book: A. Antoniou and W.-S. Lu, Practical Optimization: Algorithms and Engineering Applications, Springer, 2007.)

Program for Linear block code