E-learning recommender system dataset von Hafsa, Mounir, Wattebled, Pamela, Jacques, Julie, Jourdan, Laetitia

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On dominance-based multiobjective local search: design, implementation and experimental analysis on scheduling and traveling salesman problems von Liefooghe, Arnaud, Humeau, Jérémie, Mesmoudi, Salma, Jourdan, Laetitia, Talbi, El-Ghazali

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Metaheuristics for data mining: survey and opportunities for big data von Dhaenens, Clarisse, Jourdan, Laetitia

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Learning and Intelligent Optimization: 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers von Dhaenens, Clarisse, Jourdan, Laetitia, Marmion, Marie-Eléonore

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Metaheuristics for data mining: Survey and opportunities for big data von Dhaenens, Clarisse, Jourdan, Laetitia

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A Biclustering Method for Heterogeneous and Temporal Medical Data von Vandromme, Maxence, Jacques, Julie, Taillard, Julien, Jourdan, Laetitia, Dhaenens, Clarisse

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Synergies between operations research and data mining: The emerging use of multi-objective approaches von Corne, David, Dhaenens, Clarisse, Jourdan, Laetitia

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On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives von Verel, Sébastien, Liefooghe, Arnaud, Jourdan, Laetitia, Dhaenens, Clarisse

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Metaheuristics for data mining von Dhaenens, Clarisse, Jourdan, Laetitia

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Solving a multiobjective professional timetabling problem using evolutionary algorithms at Mandarine Academy von Hafsa, Mounir, Wattebled, Pamela, Jacques, Julie, Jourdan, Laetitia

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Unbalanced budget distribution for automatic algorithm configuration von Ghambari, Soheila, Rakhshani, Hojjat, Lepagnot, Julien, Jourdan, Laetitia, Idoumghar, Lhassane

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Improving neighborhood exploration into MOEA/D framework to solve a bi-objective routing problem von Legrand, Clément, Cattaruzza, Diego, Jourdan, Laetitia, Kessaci, Marie-Eléonore

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A software framework based on a conceptual unified model for evolutionary multiobjective optimization: ParadisEO-MOEO von Liefooghe, Arnaud, Jourdan, Laetitia, Talbi, El-Ghazali

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A comparative study between dynamic adapted PSO and VNS for the vehicle routing problem with dynamic requests von Khouadjia, Mostepha R., Sarasola, Briseida, Alba, Enrique, Jourdan, Laetitia, Talbi, El-Ghazali

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Hybridizing exact methods and metaheuristics: A taxonomy von Jourdan, L., Basseur, M., Talbi, E.-G.

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Conception of a dominance-based multi-objective local search in the context of classification rule mining in large and imbalanced data sets von Jacques, Julie, Taillard, Julien, Delerue, David, Dhaenens, Clarisse, Jourdan, Laetitia

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Using multiobjective optimization for biclustering microarray data von Seridi, Khedidja, Jourdan, Laetitia, Talbi, El-Ghazali

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Solving a dial-a-ride problem with a hybrid evolutionary multi-objective approach: Application to demand responsive transport von Chevrier, Rémy, Liefooghe, Arnaud, Jourdan, Laetitia, Dhaenens, Clarisse

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Survey and unification of local search techniques in metaheuristics for multi-objective combinatorial optimisation von Blot, Aymeric, Kessaci, Marie-Éléonore, Jourdan, Laetitia

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Improving neighborhood exploration into MOEA/D framework to solve a bi‐objective routing problem von Legrand, Clément, Cattaruzza, Diego, Jourdan, Laetitia, Kessaci, Marie‐Eléonore

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