swMATH ID: 34676
Software Authors: David Hadka
Description: Platypus is a framework for evolutionary computing in Python with a focus on multiobjective evolutionary algorithms (MOEAs). It differs from existing optimization libraries, including PyGMO, Inspyred, DEAP, and Scipy, by providing optimization algorithms and analysis tools for multiobjective optimization. It currently supports NSGA-II, NSGA-III, MOEA/D, IBEA, Epsilon-MOEA, SPEA2, GDE3, OMOPSO, SMPSO, and Epsilon-NSGA-II.
Homepage: http://platypus.readthedocs.org/en/latest/index.html
Source Code:  https://github.com/Project-Platypus/Platypus
Related Software: Python; PlatEMO; DEAP; pymoo; jMetalPy; PaGMO/PyGMO; Scikit; Geatpy; NumPy; Matplotlib; MOEA; jMetal; Dask; PaGMO; GitHub; EGO; BoTorch; VTMOP; ParMOO; PyMOSO
Cited in: 3 Documents

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