ECJ 21: A Java-based Evolutionary Computation Research System. ECJ is a research EC system written in Java. It was designed to be highly flexible, with nearly all classes (and all of their settings) dynamically determined at runtime by a user-provided parameter file. All structures in the system are arranged to be easily modifiable. Even so, the system was designed with an eye toward efficiency.

References in zbMATH (referenced in 17 articles )

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  1. Graff, Mario; Tellez, Eric S.; Escalante, Hugo Jair; Miranda-Jiménez, Sabino: Semantic genetic programming for sentiment analysis (2017)
  2. Giagkiozis, Ioannis; Purshouse, Robin C.; Fleming, Peter J.: An overview of population-based algorithms for multi-objective optimisation (2015)
  3. Paixão, Tiago; Badkobeh, Golnaz; Barton, Nick; Çörüş, Doğan; Dang, Duc-Cuong; Friedrich, Tobias; Lehre, Per Kristian; Sudholt, Dirk; Sutton, Andrew M.; Trubenová, Barbora: Toward a unifying framework for evolutionary processes (2015)
  4. Arcuri, Andrea; Yao, Xin: Co-evolutionary automatic programming for software development (2014) ioport
  5. Alba, Enrique; Luque, Gabriel; Nesmachnow, Sergio: Parallel metaheuristics: recent advances and new trends (2013)
  6. García-Sánchez, P.; González, J.; Castillo, P. A.; Arenas, M. G.; Merelo-Guervós, J. J.: Service oriented evolutionary algorithms (2013) ioport
  7. Humeau, J.; Liefooghe, A.; Talbi, E.-G.; Verel, S.: ParadisEO-MO: from fitness landscape analysis to efficient local search algorithms (2013)
  8. Simons, C. L.; Smith, J. E.: A comparison of meta-heuristic search for interactive software design (2013) ioport
  9. Parejo, José Antonio; Ruiz-Cortés, Antonio; Lozano, Sebastián; Fernandez, Pablo: Metaheuristic optimization frameworks: a survey and benchmarking (2012) ioport
  10. Krawiec, Krzysztof; Jaśkowski, Wojciech; Szubert, Marcin: Evolving small-board Go players using coevolutionary temporal difference learning with archives (2011)
  11. Cole, Nate; Desell, Travis; Lombraña González, Daniel; Fernández De Vega, Francisco Fernández; Magdon-Ismail, Malik; Newberg, Heidi; Szymanski, Boleslaw; Varela, Carlos: Evolutionary algorithms on volunteer computing platforms: The MilkyWay@Home project (2010)
  12. Langdon, William B.: Large scale bioinformatics data mining with parallel genetic programming on graphics processing units (2010)
  13. Merelo Guervós, Juan Julián; Castillo, Pedro A.; Alba, Enrique: Algorithm::Evolutionary, a flexible Perl module for evolutionary computation (2010) ioport
  14. Robilliard, Denis; Marion-Poty, Virginie; Fonlupt, Cyril: Genetic programming on graphics processing units (2009) ioport
  15. Sağ, Tahir; çunkaş, Mehmet: A tool for multiobjective evolutionary algorithms (2009)
  16. MacCallum, Robert M.: Introducing a Perl genetic programming system -- and can meta-evolution solve the bloat problem? (2003)
  17. Rummler, Andreas; Scarbata, Gerd: eaLib -- a Java framework for implementation of evolutionary algorithms (2001)