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http://www.sfu.ca/~ssurjano/optimization.html
The functions listed below are some of the common functions and datasets used for testing optimization algorithms. They are grouped according to similarities in their significant physical properties and shapes. Each page contains information about the corresponding function or dataset, as well as MATLAB and R implementations.
Many Local Minima
- Ackley Function
- Bukin Function N. 6
- Cross-in-Tray Function
- Drop-Wave Function
- Eggholder Function
- Gramacy & Lee (2012) Function
- Griewank Function
- Holder Table Function
- Langermann Function
- Levy Function
- Levy Function N. 13
- Rastrigin Function
- Schaffer Function N. 2
- Schaffer Function N. 4
- Schwefel Function
- Shubert Function
Bowl-Shaped
- Bohachevsky Functions
- Perm Function 0, d, β
- Rotated Hyper-Ellipsoid Function
- Sphere Function
- Sum of Different Powers Function
- Sum Squares Function
- Trid Function
Plate-Shaped
- Booth Function
- Matyas Function
- McCormick Function
- Power Sum Function
- Zakharov Function
Valley-Shaped
- Three-Hump Camel Function
- Six-Hump Camel Function
- Dixon-Price Function
- Rosenbrock Function
Steep Ridges/Drops
- De Jong Function N. 5
- Easom Function
- Michalewicz Function
Other
- Beale Function
- Branin Function
- Colville Function
- Forrester et al. (2008) Function
- Goldstein-Price Function
- Hartmann 3-D Function
- Hartmann 4-D Function
- Hartmann 6-D Function
- Perm Function d, β
- Powell Function
- Shekel Function
- Styblinski-Tang Function
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