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        "description": "pymop - Multi-Objective Optimization Problems\n==================================\n\nThis framework provides a collection of test problems in Python. The main features are:\n\n- Most important multi-objective test function is one place\n- Vectorized evaluation by using numpy matrices (no for loops)\n- Gradients and Hessian matrices are available through automatic differentiation\n- Easily new problems can be created using custom classes or functions\n\n\nHere, you can find a detailed documentation and information about the framework:\nhttps://www.egr.msu.edu/coinlab/blankjul/pymop/\n\n\n.. image:: https://gitlab.msu.edu/blankjul/pymop/badges/master/pipeline.svg\n   :alt: pipeline status\n   :target: https://gitlab.msu.edu/blankjul/pymop/commits/master\n\n\n\nProblems\n==================================\n\nIn this package single- as well as multi-objective test problems are\nincluded:\n\n\n-  Single-Objective:\n\n   -  Ackley\n   -  Cantilevered Beam\n   -  Griewank\n   -  Himmelblau\n   -  Knapsack\n   -  Pressure Vessel\n   -  Schwefel\n   -  Sphere\n   -  Zakharov\n   -  G\n\n-  Multi-Objective:\n\n   -  ZDT 1-6 \n   -  DTLZ 1-7 \n   -  CDTLZ \n   -  CTP \n   -  Carside Impact\n   -  BNH\n   -  Kursawe\n   -  OSY\n   -  TNK\n   -  Truss 2D\n   -  Welded Beam\n\n\n",
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