×

MOEA

swMATH ID: 3482
Software Authors: Dave Hadka and others
Description: The MOEA Framework is a free and open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose single and multiobjective optimization algorithms. The MOEA Framework supports genetic algorithms, differential evolution, particle swarm optimization, genetic programming, grammatical evolution, and more. A number of algorithms are provided out-of-the-box, including NSGA-II, NSGA-III, ε-MOEA, GDE3, PAES, PESA2, SPEA2, IBEA, SMS-EMOA, SMPSO, OMOPSO, CMA-ES, and MOEA/D. In addition, the MOEA Framework provides the tools necessary to rapidly design, develop, execute and statistically test optimization algorithms.
Homepage: http://moeaframework.org
Dependencies: Java
Related Software: PlatEMO; NumPy; Matplotlib; Platypus; DEAP; jMetal; Dask; PaGMO; jMetalPy; Python; pymoo; Sobol; DifferentialEquations.jl; eFAST; Plots.jl; Makie.jl; SALib; Julia; GlobalSensitivity.jl; PyTorch
Referenced in: 2 Publications

Referencing Publications by Year