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 25 articles , 2 standard articles )

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  1. Bahri, Oumayma; Talbi, El-Ghazali: Robustness-based approach for fuzzy multi-objective problems (2021)
  2. Li, Juan; Xin, Bin; Pardalos, Panos M.; Chen, Jie: Solving bi-objective uncertain stochastic resource allocation problems by the CVaR-based risk measure and decomposition-based multi-objective evolutionary algorithms (2021)
  3. Bahri, Oumayma; Benamor, Nahla; Talbi, El-Ghazali: Possibilistic framework for multi-objective optimization under uncertainty (2019)
  4. Benitez-Hidalgo, A.; Nebro, AJ; Garcia-Nieto, J.; Oregi, I.; Del Ser, J.: jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics (2019) arXiv
  5. Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin: PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization (2017) arXiv
  6. Bahri, Oumayma; Ben Amor, Nahla; Talbi, El-Ghazali: (\beta)-robustness approach for fuzzy multi-objective problems (2016)
  7. Greco, Salvatore (ed.); Ehrgott, Matthias (ed.); Figueira, José Rui (ed.): Multiple criteria decision analysis. State of the art surveys. In 2 volumes (2016)
  8. Gutjahr, Walter J.; Pichler, Alois: Stochastic multi-objective optimization: a survey on non-scalarizing methods (2016)
  9. Bahri, Oumayma; Amor, Nahla Ben; El-Ghazali, Talbi: New Pareto approach for ranking triangular fuzzy numbers (2014)
  10. Derbel, Bilel; Humeau, Jérémie; Liefooghe, Arnaud; Verel, Sébastien: Distributed localized bi-objective search (2014)
  11. Rath, Stefan; Gutjahr, Walter J.: A math-heuristic for the warehouse location-routing problem in disaster relief (2014)
  12. Dahmani, Nadia; Krichen, Saoussen; Clautiaux, François; Talbi, El-Ghazali: A comparative study of multi-objective evolutionary algorithms for the bi-objective 2-dimensional vector packing problem (2013)
  13. Humeau, J.; Liefooghe, A.; Talbi, E.-G.; Verel, S.: ParadisEO-MO: from fitness landscape analysis to efficient local search algorithms (2013)
  14. Liefooghe, Arnaud; Basseur, Matthieu; Humeau, Jérémie; Jourdan, Laetitia; Talbi, El-Ghazali: On optimizing a bi-objective flowshop scheduling problem in an uncertain environment (2012)
  15. Liefooghe, Arnaud; Humeau, Jérémie; Mesmoudi, Salma; Jourdan, Laetitia; Talbi, El-Ghazali: On dominance-based multiobjective local search: design, implementation and experimental analysis on scheduling and traveling salesman problems (2012)
  16. Tricoire, Fabien; Graf, Alexandra; Gutjahr, Walter J.: The bi-objective stochastic covering tour problem (2012)
  17. Gutjahr, Walter J.: Recent trends in metaheuristics for stochastic combinatorial optimization (2011)
  18. Liefooghe, Arnaud: Metaheuristics for multiobjective optimisation. Cooperative approaches, uncertainty handling and application in logistics (2011)
  19. Liefooghe, Arnaud; Jourdan, Laetitia; Talbi, El-Ghazali: A software framework based on a conceptual unified model for evolutionary multiobjective optimization: ParadisEO-MOEO (2011) ioport
  20. Figueira, J. R.; Liefooghe, A.; Talbi, E.-G.; Wierzbicki, A. P.: A parallel multiple reference point approach for multi-objective optimization (2010)

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