pymop 0.2.4

Multi-Objective Optimization Problems

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:
https://www.egr.msu.edu/coinlab/blankjul/pymop/


.. image:: https://gitlab.msu.edu/blankjul/pymop/badges/master/pipeline.svg
:alt: pipeline status
:target: https://gitlab.msu.edu/blankjul/pymop/commits/master



Problems
==================================

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
- G

- Multi-Objective:

- ZDT 1-6
- DTLZ 1-7
- CDTLZ
- CTP
- Carside Impact
- BNH
- Kursawe
- OSY
- TNK
- Truss 2D
- Welded Beam