Multi-Objective Optimization Problems
Project description
pymop - Multi-Objective Optimization Problems
==================================
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
- 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/
Problems
==================================
In this package single- as well as multi-objective test problems are
included:
- Single-Objective:
- Ackley
- BNH
- Griewank
- Knapsack
- Schwefel
- Sphere
- Zakharov
- Multi-Objective:
- ZDT 1-6
- DTLZ 1-7
- WFG 1-9
- Carside Impact
- BNH
- Kursawe
- OSY
- TNK
- Welded Beam
==================================
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
- 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/
Problems
==================================
In this package single- as well as multi-objective test problems are
included:
- Single-Objective:
- Ackley
- BNH
- Griewank
- Knapsack
- Schwefel
- Sphere
- Zakharov
- Multi-Objective:
- ZDT 1-6
- DTLZ 1-7
- WFG 1-9
- Carside Impact
- BNH
- Kursawe
- OSY
- TNK
- Welded Beam
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