From: Covariance and crossover matrix guided differential evolution for global numerical optimization
Function | Name | U/M | Asy. | Sep. | Optimal |
---|---|---|---|---|---|
F1 | Rot. high conditioned elliptic function | U | N | N | 100 |
F2 | Rot. bent cigar function | U | N | N | 200 |
F3 | Rot. discus function | U | N | N | 300 |
F4 | Shif. Rot. Rosenbrock’s function | M | N | N | 400 |
F5 | Shif. Rot. Ackley’s function | M | N | N | 500 |
F6 | Shif. Rot. Weierstrass function | M | N | N | 600 |
F7 | Shif. Rot. Griewank’s function | M | N | N | 700 |
F8 | Shif. Rastrigin’s function | M | N | S | 800 |
F9 | Shif. Rot. Rastrigin’s function | M | N | N | 900 |
F10 | Shif. Schwefel’s function | M | N | S | 1000 |
F11 | Shif. Rot. Schwefel’s function | M | N | N | 1100 |
F12 | Shif. Rot. Katsuura function | M | N | N | 1200 |
F13 | Shif. Rot. HappyCat function | M | N | N | 1300 |
F14 | Shif. Rot. HGBat function | M | N | N | 1400 |
F15 | Shif. Rot. Exp. Griewank’s + Rosenbrock’s function | M | N | N | 1500 |
F16 | Shif. Rot. Exp. Scaffer’s F6 function | M | N | N | 1600 |
F17 | Hybrid function 1 (N = 3) | M | N | N | 1700 |
F18 | Hybrid function 2 (N = 3) | M | N | N | 1800 |
F19 | Hybrid function 3 (N = 4) | M | N | N | 1900 |
F20 | Hybrid function 4 (N = 4) | M | N | N | 2000 |
F21 | Hybrid function 5 (N = 5) | M | N | N | 2100 |
F22 | Hybrid function 6 (N = 5) | M | N | N | 2200 |
F23 | Composition function 1 (N = 5) | M | A | N | 2300 |
F24 | Composition function 2 (N = 3) | M | N | N | 2400 |
F25 | Composition function 3 (N = 3) | M | A | N | 2500 |
F26 | Composition function 4 (N = 5) | M | A | N | 2600 |
F27 | Composition Function 5 (N = 5) | M | A | N | 2700 |
F28 | Composition Function 6 (N = 5) | M | A | N | 2800 |
F29 | Composition Function 7 (N = 3) | M | A | N | 2900 |
F30 | Composition function 8 (N = 3) | M | A | N | 3000 |
Search range: [−100, 100] | Dimension: Dim = 10 and 30 |