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|
|Operating Systems||Windows Unix Linux Mac OS OS Independent|
|Implementation||Java 6+ Java|
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.