Paradiseo-MOEO is a general-purpose software framework dedicated to the design, implementation and analysis of metaheuristics for multiobjective optimization. It is based on a conceptual model that tends to unify a substantial number of state-of-the-art methodologies proposed so far. All those methods are here considered as simple variants of the same structure: a fine-grained decomposition following the main issues of fitness assignment, diversity preservation and elitism.

References in zbMATH (referenced in 14 articles , 1 standard article )

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  1. Greco, Salvatore (ed.); Ehrgott, Matthias (ed.); Figueira, José Rui (ed.): Multiple criteria decision analysis. State of the art surveys. In 2 volumes (2016)
  2. Gutjahr, Walter J.; Pichler, Alois: Stochastic multi-objective optimization: a survey on non-scalarizing methods (2016)
  3. Derbel, Bilel; Humeau, Jérémie; Liefooghe, Arnaud; Verel, Sébastien: Distributed localized bi-objective search (2014)
  4. Rath, Stefan; Gutjahr, Walter J.: A math-heuristic for the warehouse location-routing problem in disaster relief (2014)
  5. Liefooghe, Arnaud; Basseur, Matthieu; Humeau Jérémie; Jourdan, Laetitia; Talbi, El-Ghazali: On optimizing a bi-objective flowshop scheduling problem in an uncertain environment (2012)
  6. Tricoire, Fabien; Graf, Alexandra; Gutjahr, Walter J.: The bi-objective stochastic covering tour problem (2012)
  7. Liefooghe, Arnaud: Metaheuristics for multiobjective optimisation. Cooperative approaches, uncertainty handling and application in logistics (2011)
  8. Liefooghe, Arnaud; Jourdan, Laetitia; Talbi, El-Ghazali: A software framework based on a conceptual unified model for evolutionary multiobjective optimization: ParadisEO-MOEO (2011)
  9. Figueira, J.R.; Liefooghe, A.; Talbi, E.-G.; Wierzbicki, A.P.: A parallel multiple reference point approach for multi-objective optimization (2010)
  10. Liefooghe, Arnaud; Jourdan, Laetitia; Legrand, Thomas; Humeau, Jérémie; Talbi, El-Ghazali: ParadisEO-MOEO: A software framework for evolutionary multi-objective optimization (2010)
  11. Eskandari, Hamidreza; Geiger, Christopher D.: Evolutionary multiobjective optimization in noisy problem environments (2009)
  12. García-Nieto, J.; Alba, E.; Jourdan, L.; Talbi, E.: Sensitivity and specificity based multiobjective approach for feature selection: application to cancer diagnosis (2009)
  13. Liefooghe, Arnaud; Basseur, Matthieu; Jourdan, Laetitia; Talbi, El-Ghazali: Combinatorial optimization of stochastic multi-objective problems: An application to the flow-shop scheduling problem (2007)
  14. Liefooghe, Arnaud; Basseur, Matthieu; Jourdan, Laetitia; Talbi, El-Ghazali: Paradiseo-MOEO: A framework for evolutionary multi-objective optimization (2007)

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