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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.

Tags

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

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In a Nutshell, MOEA Framework...

GNU Lesser General Public License v3.0 only
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These details are provided for information only. No information here is legal advice and should not be used as such.

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Languages

Languages?height=75&width=75
Java
89%
11 Other
11%

30 Day Summary

Jun 20 2019 — Jul 20 2019

12 Month Summary

Jul 20 2018 — Jul 20 2019
  • 11 Commits
    Down -22 (66%) from previous 12 months
  • 1 Contributors
    Down -1 (50%) from previous 12 months

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