The following Matlab project contains the source code and Matlab examples used for stochastic radial basis function algorithm for global optimization.
The Stochastic Radial Basis Function Algorithm aims at solving computationally expensive continuous black-box global optimization problems with box constraints.
The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.
Project Files:
| File Name | Size |
|---|---|
| license.txt | 1564 |
| ComputeRBF.m | 1783 |
| datainput_Ackley15.m | 763 |
| datainput_Ackley30.m | 766 |
| datainput_Branin.m | 784 |
| datainput_DixonPrice15.m | 779 |
| datainput_hartman3.m | 1105 |
| datainput_hartman6.m | 1222 |
| datainput_Levy20.m | 827 |
| datainput_Michalewicz25.m | 757 |
| datainput_Powell24.m | 994 |
| datainput_Rastrigin12.m | 767 |
| datainput_Rastrigin30.m | 809 |
| datainput_Rosenbrock10.m | 754 |
| datainput_Rosenbrock20.m | 780 |
| datainput_Schoen_10_4_3.m | 11648 |
| datainput_Schoen_17_2_5.m | 9682 |
| datainput_Shekel10.m | 1161 |
| datainput_Shekel5.m | 1166 |
| datainput_Shekel7.m | 1149 |
| datainput_Shubert.m | 768 |
| datainput_Sphere27.m | 725 |
| datainput_Zakharov11.m | 782 |
| InitialRBFMatrices.m | 2155 |
| LocalStochRBFrestart.m | 3774 |
| LocalStochRBFstop.m | 9948 |
| Minimize_Merit_Function.m | 6267 |
| phi.m | 691 |
| SLHDstandard.m | 1032 |
| StochasticRBF.m | 8139 |
| StochasticRBF.m~ | 7924 |
| TestLocalStochRBFrestart.m | 2533 |
| _Manual.pdf | 100146 |
