apnr2

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.

Genetic algorithms in 8 queen problem

统计分析 数据分析中关于回归分析的源代码，非常的全面！(The statistical analysis of source code, data analysis, regression analysis is very comprehensive! )

ARIMA模型，用来对非平稳信号的功率谱估计，很有用！(ARIMA model, used for non-stationary signals in power spectrum estimation, very useful!)

rbfnn用于长期预测，效果比多元回归模型好。(rbfnn for long-term forecast, the effect is better than the multiple regression model.)

script_ber_mimo_zf_bpsk_rayleigh_channel montre la performance de egaliseur zf avec mimo

说明：  matlab实例源程序100例，快速掌握MATLAB的利器！(matlab examples of source 100 cases, quick to master MATLAB weapon!)

说明：  用MatlAB实现GSM系统中的GMSK的调制解调(Achieved with the GSM system MatlAB GMSK modulation and demodulation)

四元数matlab代码中的球根运算，可以直接用的(Quaternion operations matlab code bulbs, can be directly used)

光纤陀螺输出误差的allan方差分析，基于K均值的PSO聚类算法,使用matlab实现智能预测控制算法。( allan FOG output error variance analysis, K-means clustering algorithm based on the PSO, Use matlab intelligent predictive control algorithm.)