Hybrid Non-Dominated Sorting and Harmony Search Algorithm

Description

In this project, parameters of support vector machines are optimized by a hybrid algorithm. This algorithm is combination of Harmony search algorithm and non-dominated sorting. 

RBF Sigma and box constraint ( C ) are two parameters used for optimization of support vector machines.

output of the MATLAB code :

Best =         81.4724 90.5792

BestFit =       1.0638

Best Value for RBF Sigma = 81.4724 box constraint C = 90.5792

 Performance = 94 %

AN adaptive L1–L2 hybrid error model to super-resolution

Network traffic prediction by hybrid model (MLP and ARIMA)