The MOEA Framework is a 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.
| Tags | MOEA Optimization Algorithm multiobjective genetic evolutionary |
|---|---|
| Licenses | LGPL |
| Operating Systems | Windows Unix Linux Mac OS OS Independent |
| Implementation | Java 6+ Java |
| Translations | English |
Recent releases


Release Notes: This release includes several bugfixes and feature enhancements. The examples page on the Web site has also been updated.


Release Notes: This release includes several new genetic algorithm and genetic programming examples. Several minor bugs were patched.


Release Notes: This release includes a significant update adding genetic programming support. Optimization algorithms can now evolve and optimize expression trees using any of the 45 existing operators or custom, user-defined operators. As a result, the MOEA Framework now supports all major evolutionary algorithm strategies including genetic algorithms, differential evolution, swarm intelligence, genetic programming, and grammatical evolution.


Release Notes: This release added internationalization and localization support to user interfaces, improved support for parameterizing PISA algorithms, and enhanced the MOEA/D implementation to support its original specification as well as the utility-based search extension introduced at the IEEE Congress on Evolutionary Computation in 2009.


Release Notes: This release includes significant improvements to the user manual and several bugfixes.
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