This is the source code of this article:Multi-surrogate multi-tasking optimization of expensive problems
Test set is CEC2005 and CEC2017：
| Index | Benchmark problem | Index | Benchmark problem | Index | Benchmark problem | Index | Benchmark problem |
|---|---|---|---|---|---|---|---|
| F1 | Ellipsoid | F2 | Rosenbrock | F3 | Ackley | F4 | Griewank |
| F5 | Rastrigin | F6 | CEC2005 F10 | F7 | CEC2005 F16 | F8 | CEC2005 F19 |
| F9 | CEC2017 F1 | F10 | CEC2017 F4 | F11 | CEC2017 F11 | F12 | CEC2017 F21 |
Note：In the folder named fig, including the result data of MS-MTO in CEC2005 and CEC2017.
matlab 2016b
Special thanks to Multifactorial evolution: toward evolutionary multitasking(MFEA) and Generalized multitasking for evolutionary optimization of expensive problems(G-MFEA).
Please refer with all questions, comments, bug reports, etc. to [email protected]