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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 (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:

.. image::
:alt: pipeline status


In this package single- as well as multi-objective test problems are

- Single-Objective:

- Ackley
- Cantilevered Beam
- Griewank
- Himmelblau
- Knapsack
- Pressure Vessel
- Schwefel
- Sphere
- Zakharov
- G

- Multi-Objective:

- ZDT 1-6
- DTLZ 1-7
- Carside Impact
- Kursawe
- Truss 2D
- Welded Beam

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