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

There are no reported vulnerabilities

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30 Day Summary

Aug 23 2020 — Sep 22 2020

12 Month Summary

Sep 22 2019 — Sep 22 2020
  • 38 Commits
    Up + 27 (245%) from previous 12 months
  • 1 Contributors
    Down 0 (0%) from previous 12 months


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