Metadata-Version: 1.0
Name: pymop
Version: 0.2.4
Summary: Multi-Objective Optimization Problems
Home-page: https://github.com/msu-coinlab/pymop
Author: Julian Blank
Author-email: blankjul@egr.msu.edu
License: Apache License 2.0
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:
        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
        
Keywords: optimization
Platform: any
