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File Date Author Commit
 jmetal-algorithm 2017-02-25 Matthieu Vergne Matthieu Vergne [115a90] Remove unused variables.
 jmetal-core 2017-03-01 Antonio J. Nebro Antonio J. Nebro [fc0a55] Add package chartcontainer
 jmetal-exec 2017-03-01 Antonio J. Nebro Antonio J. Nebro [d58028] Add package chartcontainer
 jmetal-problem 2017-02-25 Matthieu Vergne Matthieu Vergne [115a90] Remove unused variables.
 .gitignore 2016-03-10 ajnebro ajnebro [32cb02] Modified file .gitignore
 .travis.yml 2016-11-18 canicio canicio [66b724] Integrate Travis CI and Codecov plugin
 README.md 2017-03-01 Antonio J. Nebro Antonio J. Nebro [234c1f] Update README.md
 pom.xml 2017-01-12 Antonio J. Nebro Antonio J. Nebro [eebe74] [maven-release-plugin] prepare for next develop...
 sonar-project.properties 2014-11-26 ajnebro ajnebro [f97a07] Refactoring DifferentialEvolutionBuilderTest

Read Me

jMetal 5 Development Site

Status

Build Status

jMetal is an object-oriented Java-based framework for multi-objective optimization with metaheuristics
The Web page of the project is: http://jmetal.github.io/jMetal/. Former jMetal versions can be found in SourceForge. The current version is jMetal 5.2.

The jMetal development version is hosted in this repository; this way, interested users can take a look to
the new incoming features in advance.

If you are interested in contributing with your ideas and comments, please take a look the current discussions in the Issues section.

Changelog of the next incoming release (jMetal 5.3)

New features

  • Added getters and setters to all the parameters of the operators.
  • The R2 indicator can be applied now to fronts with more than two objectives.

jMetal is available as a Maven Project in The Central Repository

The link to the modules is: https://search.maven.org/#search%7Cga%7C1%7Cjmetal

jMetal documentation

The documentation is hosted in https://github.com/jMetal/jMetalDocumentation

Publications

A.J. Nebro, J.J. Durillo, M. Vergne: "Redesigning the jMetal Multi-Objective Optimization Framework". Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference (GECCO Companion '15) Pages 1093-1100. DOI: http://dx.doi.org/10.1145/2739482.2768462

Code coverage (4th April 2016)

Coverage data of the jmetal-core package reported by IntelliJ Idea:

Class % Method % Line %
51,8% (93/181) 40.0% (375/393) 37%% (1183/5084)

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