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Project Summary

The MOEA Framework is an open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose optimization algorithms and metaheuristics. A number of algorithms are provided out-of-the-box, including NSGA-II, ε-MOEA, GDE3 and MOEA/D. In addition, third-party tools like JMetal and PISA directly integrate with the MOEA Framework.

The MOEA Framework targets an academic audience, providing the resources necessary to rapidly design, develop, execute and statistically test optimization algorithms. This includes over 40 test problems from the literature, and a suite of statistical tools for comparing and analyzing algorithm performance.


ai algorithms artificial-intelligence artificial_intelligence artificialintelligence combinatorial_optimization combinatorialoptimization evolutionalgorithm evolutionary evolutionary-algorithm evolutionaryalgorithm evolutionary-algorithms evolutionaryalgorithms evolutionary-computation evolutionarycomputation evolutionary-computing evolutionarycomputing evolutionaryengineering evolutionarystrategie evolution-strategy evolutionstrategy framework genetic genetic-algorithm genetic_algorithm geneticalgorithm genetic-algorithms genetic_algorithms geneticalgorithms geneticalgoritm geneticalgoritms heuristic heuristicalgorithm heuristics heuristicsearch java library metaheuristic metaheuristics moea operationsresearch optimisation optimization optimizationtechnique particle-swarm-optimization particleswarmoptimization research search


In a Nutshell, MOEA Framework...

GNU Lesser General Public License v3.0 only

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Project Security

Vulnerabilities per Version ( last 10 releases )

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30 Day Summary

Oct 30 2023 — Nov 29 2023

12 Month Summary

Nov 29 2022 — Nov 29 2023
  • 177 Commits
    Down -148 (45%) from previous 12 months
  • 4 Contributors
    Up + 2 (100%) from previous 12 months


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