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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 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

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In a Nutshell, MOEA Framework...

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These details are provided for information only. No information here is legal advice and should not be used as such.

Project Security

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About Project Security

Languages

Java
92%
10 Other
8%

30 Day Summary

Mar 18 2024 — Apr 17 2024

12 Month Summary

Apr 17 2023 — Apr 17 2024
  • 488 Commits
    Up + 22 (4%) from previous 12 months
  • 3 Contributors
    Down 0 (0%) from previous 12 months

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