Platypus 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 all top 5 Cited by 10 Authors 1 Akhtar, Taimoor 1 Antoniou, Margarita 1 Bäck, Thomas H. W. 1 Deutz, André H. 1 Emmerich, Michael T. M. 1 Papa, Gregor 1 Petelin, Gašper 1 Shoemaker, Christine A. 1 Wang, Wenyu 1 Yang, Kaifeng Cited in 2 Serials 2 Journal of Global Optimization 1 Optimization and Engineering Cited in 1 Field 3 Operations research, mathematical programming (90-XX) Citations by Year