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Laetitia Jourdan
Laetitia Jourdan
Professeur d'Université, Université de Lille, CRIStAL, CNRS
Bestätigte E-Mail-Adresse bei univ-lille.fr
Titel
Zitiert von
Zitiert von
Jahr
Hybridizing exact methods and metaheuristics: A taxonomy
L Jourdan, M Basseur, EG Talbi
European Journal of Operational Research 199 (3), 620-629, 2009
3572009
Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms
E Alba, J Garcia-Nieto, L Jourdan, EG Talbi
2007 IEEE congress on evolutionary computation, 284-290, 2007
3232007
A comparative study between dynamic adapted PSO and VNS for the vehicle routing problem with dynamic requests
MR Khouadjia, B Sarasola, E Alba, L Jourdan, EG Talbi
Applied Soft Computing 12 (4), 1426-1439, 2012
1952012
Sensitivity and specificity based multiobjective approach for feature selection: Application to cancer diagnosis
J García-Nieto, E Alba, L Jourdan, E Talbi
Information Processing Letters 109 (16), 887-896, 2009
1182009
On dominance-based multiobjective local search: design, implementation and experimental analysis on scheduling and traveling salesman problems
A Liefooghe, J Humeau, S Mesmoudi, L Jourdan, EG Talbi
Journal of Heuristics 18, 317-352, 2012
1162012
ParadisEO-MOEO: A framework for evolutionary multi-objective optimization
A Liefooghe, M Basseur, L Jourdan, EG Talbi
Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO …, 2007
1152007
Synergies between operations research and data mining: The emerging use of multi-objective approaches
D Corne, C Dhaenens, L Jourdan
European Journal of Operational Research 221 (3), 469-479, 2012
1132012
On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives
S Verel, A Liefooghe, L Jourdan, C Dhaenens
European Journal of Operational Research 227 (2), 331-342, 2013
1122013
Advances in multi-objective nature inspired computing
CC Coello, C Dhaenens, L Jourdan
Springer, 2009
1062009
Solving a dial-a-ride problem with a hybrid evolutionary multi-objective approach: Application to demand responsive transport
R Chevrier, A Liefooghe, L Jourdan, C Dhaenens
Applied Soft Computing 12 (4), 1247-1258, 2012
1002012
Comparison of population based metaheuristics for feature selection: Application to microarray data classification
EG Talbi, L Jourdan, J Garcia-Nieto, E Alba
2008 IEEE/ACS International Conference on Computer Systems and Applications …, 2008
902008
Multi-objective combinatorial optimization: Problematic and context
CA Coello Coello, C Dhaenens, L Jourdan
Advances in multi-objective nature inspired computing, 1-21, 2010
892010
Using datamining techniques to help metaheuristics: A short survey
L Jourdan, C Dhaenens, EG Talbi
International workshop on hybrid metaheuristics, 57-69, 2006
782006
A genetic algorithm for feature selection in data-mining for genetics
L Jourdan, C Dhaenens, EG Talbi
Proceedings of the 4th Metaheuristics International ConferencePorto (MIC …, 2001
722001
MO-ParamILS: A multi-objective automatic algorithm configuration framework
A Blot, HH Hoos, L Jourdan, MÉ Kessaci-Marmion, H Trautmann
Learning and Intelligent Optimization: 10th International Conference, LION …, 2016
702016
A software framework based on a conceptual unified model for evolutionary multiobjective optimization: ParadisEO-MOEO
A Liefooghe, L Jourdan, EG Talbi
European Journal of Operational Research 209 (2), 104-112, 2011
692011
Preliminary investigation of the ‘learnable evolution model’for faster/better multiobjective water systems design
L Jourdan, D Corne, D Savic, G Walters
Evolutionary Multi-Criterion Optimization: Third International Conference …, 2005
572005
Combinatorial optimization of stochastic multi-objective problems: an application to the flow-shop scheduling problem
A Liefooghe, M Basseur, L Jourdan, EG Talbi
Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO …, 2007
482007
Métaheuristiques pour l'extraction de connaissances: Application à la génomique
L Jourdan
Université des Sciences et Technologie de Lille-Lille I, 2003
482003
Metaheuristics for big data
C Dhaenens, L Jourdan
John Wiley & Sons, 2016
472016
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