This framework provides a collection of test problems in Python. The main features are:
- Most important multi-objective test function is one place
- Vectorized evaluation by using numpy matrices (no for loops)
- Gradients and Hessian matrices are available through automatic differentiation
- Easily new problems can be created using custom classes or functions
Here, you can find a detailed documentation and information about the framework: https://www.egr.msu.edu/coinlab/blankjul/pymop/
In this package single- as well as multi-objective test problems are included:
- Single-Objective:
- Ackley
- Cantilevered Beam
- Griewank
- Himmelblau
- Knapsack
- Pressure Vessel
- Schwefel
- Sphere
- Zakharov
- G1-10
- Multi-Objective:
- ZDT 1-6
- CTP
- Carside Impact
- BNH
- Kursawe
- OSY
- TNK
- Truss 2D
- Welded Beam
- Many-Objective:
- DTLZ 1-7
- CDTLZ