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ORCIDLaetitia Vermeulen-Jourdan
Laetitia Jourdan
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- affiliation: LIFL Lille, France
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2020 – today
- 2025
[j42]Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci:
Improving neighborhood exploration into MOEA/D framework to solve a bi-objective routing problem. Int. Trans. Oper. Res. 32(1): 117-143 (2025)- [j41]Mounir Hafsa
, Pamela Wattebled, Julie Jacques, Laetitia Jourdan:
Solving a multiobjective professional timetabling problem using evolutionary algorithms at Mandarine Academy. Int. Trans. Oper. Res. 32(1): 244-269 (2025) - 2024
- [c90]Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci:
Investigation of the Benefit of Extracting Patterns from Local Optima to Solve a Bi-objective VRPTW. MIC (1) 2024: 62-77 - [c89]Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci:
Solution-Based Knowledge Discovery for Multi-objective Optimization. PPSN (4) 2024: 83-99 - 2023
- [c88]Corentin Juvigny, Julien Baste, Guillaume Lozenguez, Arnaud Doniec, Laetitia Jourdan:
A Hybrid Genetic Approach for Bi-Level Flexible Job Shops Arising from Selective Deconstruction. CEC 2023: 1-8 - [c87]Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci:
Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem. EMO 2023: 462-475 - 2022
- [j40]Clarisse Dhaenens, Laetitia Jourdan:
Metaheuristics for data mining: survey and opportunities for big data. Ann. Oper. Res. 314(1): 117-140 (2022) - [j39]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Preface to the Special Cluster on Stochastic Local Search: Recent Developments and Trends. Int. Trans. Oper. Res. 29(5): 2735-2736 (2022) - [j38]Soheila Ghambari, Hojjat Rakhshani, Julien Lepagnot, Laetitia Jourdan, Lhassane Idoumghar:
Unbalanced budget distribution for automatic algorithm configuration. Soft Comput. 26(3): 1315-1330 (2022) - [j37]Maxence Vandromme, Julie Jacques, Julien Taillard, Laetitia Jourdan, Clarisse Dhaenens:
A Biclustering Method for Heterogeneous and Temporal Medical Data. IEEE Trans. Knowl. Data Eng. 34(2): 506-518 (2022) - [c86]Mahmoud Golabi, Soheila Ghambari, Shilan Amir Ashayeri, Laetitia Jourdan, Lhassane Idoumghar:
A Multi-objective 3D Offline UAV Path Planning Problem with Variable Flying Altitude. EA 2022: 187-200 - [c85]Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci:
New Neighborhood Strategies for the Bi-objective Vehicle Routing Problem with Time Windows. MIC 2022: 45-60 - [c84]Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci:
Enhancing MOEA/D with learning: application to routing problems with time windows. GECCO Companion 2022: 495-498 - [c83]Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan:
Multi-objective recommender system for corporate MOOC. GECCO Companion 2022: 2314-2317 - [c82]Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan:
A Multi-Objective E-learning Recommender System at Mandarine Academy. MORS@RecSys 2022 - [c81]Khouloud Fakhfakh Maala, Sarah Ben Othman, Hayfa Zgaya-Biau, Laetitia Jourdan, Jean-Marie Renard, Slim Hammadi:
Dynamic Dempster Multi-Layer Perceptron for the prediction of admission patient in emergency department. SMC 2022: 190-195 - [c80]Corentin Juvigny, Julien Baste, Guillaume Lozenguez, Arnaud Doniec, Laetitia Jourdan:
Towards hybridization of multi-agent simulation and metaheuristics applied to selective deconstruction. SSCI 2022: 767-773 - 2021
- [c79]Mounir Hafsa, Pamela Wattebled, Julie Jacques, Laetitia Jourdan:
A Multi-Objective Evolutionary Approach to Professional Course Timetabling: A Real-World Case Study. CEC 2021: 997-1004 - [c78]Nicolas Szczepanski, Gilles Audemard, Laetitia Jourdan, Christophe Lecoutre, Lucien Mousin, Nadarajen Veerapen:
A hybrid CP/MOLS approach for multi-objective imbalanced classification. GECCO 2021: 723-731 - [c77]Sylvain Clay, Lucien Mousin, Nadarajen Veerapen, Laetitia Jourdan:
CLAHC - custom late acceptance hill climbing: first results on TSP. GECCO Companion 2021: 1970-1973 - [c76]Weerapan Sae-Dan, Marie-Eléonore Kessaci, Nadarajen Veerapen, Laetitia Jourdan:
Automatic Algorithm Multi-Configuration Applied to an Optimization Algorithm. HIS 2021: 160-170 - [c75]Khouloud Fakhfakh, Sarah Ben Othman, Laetitia Jourdan, Grégoire Smith, Jean-Marie Renard, Slim Hammadi, Hayfa Zgaya-Biau:
Fuzzy Ontology for Patient Emergency Department Triage. ICCS (3) 2021: 719-734 - [c74]Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Eléonore Kessaci:
AutoTSC: Optimization Algorithm to Automatically Solve the Time Series Classification Problem. ICTAI 2021: 412-419 - [c73]Khouloud Fakhfakh Maala, Sarah Ben Othman, Laetitia Jourdan, Grégoire Smith, Jean-Marie Renard, Slim Hammadi, Hayfa Zgaya-Biau:
Ontology for Overcrowding Management in Emergency Department. MedInfo 2021: 947-951 - 2020
- [j36]Julie Jacques, Hélène Martin-Huyghe, Justine Lemtiri-Florek, Julien Taillard, Laetitia Jourdan, Clarisse Dhaenens, David Delerue, Arnaud Hansske, Valérie Leclercq:
The detection of hospitalized patients at risk of testing positive to multi-drug resistant bacteria using MOCA-I, a rule-based "white-box" classification algorithm for medical data. Int. J. Medical Informatics 142: 104242 (2020) - [j35]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27(1): 697-698 (2020) - [j34]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27(2): 1263-1264 (2020) - [j33]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27(3): 1806-1807 (2020) - [j32]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27(4): 2253-2254 (2020) - [j31]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27(5): 2685-2686 (2020) - [c72]Mahmoud Golabi, Soheila Ghambari, Julien Lepagnot, Laetitia Jourdan, Mathieu Brévilliers, Lhassane Idoumghar:
Bypassing or flying above the obstacles? A novel multi-objective UAV path planning problem. CEC 2020: 1-8 - [c71]Sara Tari, Nicolas Szczepanski, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan:
Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data. CEC 2020: 1-8 - [c70]Weerapan Sae-Dan, Marie-Eléonore Kessaci, Nadarajen Veerapen, Laetitia Jourdan:
Time-dependent automatic parameter configuration of a local search algorithm. GECCO Companion 2020: 1898-1905 - [c69]Soheila Ghambari, Mahmoud Golabi, Julien Lepagnot, Mathieu Brévilliers, Laetitia Jourdan, Lhassane Idoumghar:
An Enhanced NSGA-II for Multiobjective UAV Path Planning in Urban Environments. ICTAI 2020: 106-111 - [c68]Nicolas Szczepanski, Lucien Mousin, Nadarajen Veerapen, Laetitia Jourdan:
Automatic Configuration of Multi-Thread Local Search: Preliminary Results on Bi-objective TSP. ICTAI 2020: 1241-1248 - [c67]Sara Tari, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan:
Impact of the Discretization of VOCs for Cancer Prediction Using a Multi-Objective Algorithm. LION 2020: 151-157 - [c66]Sara Tari, Holger H. Hoos, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan:
Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification. PPSN (1) 2020: 65-77 - [c65]Soheila Ghambari, Julien Lepagnot, Laetitia Jourdan, Lhassane Idoumghar:
UAV path planning in the presence of static and dynamic obstacles. SSCI 2020: 465-472 - [i7]Mahmoud Golabi, Soheila Ghambari, Julien Lepagnot, Laetitia Jourdan, Mathieu Brévilliers, Lhassane Idoumghar:
Bypassing or flying above the obstacles? A novel multi-objective UAV path planning problem. CoRR abs/2004.08279 (2020)
2010 – 2019
- 2019
- [j30]Clarisse Dhaenens, Laetitia Jourdan:
Metaheuristics for data mining - Survey and opportunities for big data. 4OR 17(2): 115-139 (2019) - [j29]Aymeric Blot, Marie-Eléonore Marmion, Laetitia Jourdan, Holger H. Hoos:
Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems. Evol. Comput. 27(1): 147-171 (2019) - [j28]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 26(6): 2580-2581 (2019) - [c64]Soheila Ghambari, Lhassane Idoumghar, Laetitia Jourdan, Julien Lepagnot:
A Hybrid Evolutionary Algorithm for Offline UAV Path Planning. EA 2019: 205-218 - [c63]Camille Pageau, Aymeric Blot, Holger H. Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan:
Configuration of a Dynamic MOLS Algorithm for Bi-objective Flowshop Scheduling. EMO 2019: 565-577 - [c62]Laurent Parmentier, Olivier Nicol, Laetitia Jourdan, Marie-Eléonore Kessaci:
TPOT-SH: A Faster Optimization Algorithm to Solve the AutoML Problem on Large Datasets. ICTAI 2019: 471-478 - [c61]Soheila Ghambari, Lhassane Idoumghar, Laetitia Jourdan, Julien Lepagnot:
An Improved TLBO Algorithm for Solving UAV Path Planning Problem. SSCI 2019: 2261-2268 - 2018
- [j27]Aymeric Blot, Marie-Eléonore Marmion, Laetitia Jourdan:
Survey and unification of local search techniques in metaheuristics for multi-objective combinatorial optimisation. J. Heuristics 24(6): 853-877 (2018) - [j26]Sophie Jacquin, Fanny Dufossé, Laetitia Jourdan:
An exact algorithm for the bi-objective timing problem. Optim. Lett. 12(4): 903-914 (2018) - [c60]Aymeric Blot, Holger H. Hoos, Marie-Eléonore Kessaci, Laetitia Jourdan:
Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives. ICTAI 2018: 571-578 - [c59]Anne-Lise Bedenel, Laetitia Jourdan, Christophe Biernacki:
Probability Estimation by an Adapted Genetic Algorithm in Web Insurance. LION 2018: 225-240 - [c58]Aymeric Blot, Marie-Eléonore Kessaci, Laetitia Jourdan, Patrick De Causmaecker:
Adaptive Multi-objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem. LION 2018: 241-256 - [c57]Aymeric Blot, Manuel López-Ibáñez, Marie-Eléonore Kessaci, Laetitia Jourdan:
New Initialisation Techniques for Multi-objective Local Search - Application to the Bi-objective Permutation Flowshop. PPSN (1) 2018: 323-334 - [c56]Soheila Ghambari, Julien Lepagnot, Laetitia Jourdan, Lhassane Idoumghar:
A comparative study of meta-heuristic algorithms for solving UAV path planning. SSCI 2018: 174-181 - 2017
- [j25]Maxence Vandromme, Julie Jacques, Julien Taillard, Arnaud Hansske, Laetitia Vermeulen-Jourdan, Clarisse Dhaenens:
Extraction and optimization of classification rules for temporal sequences: Application to hospital data. Knowl. Based Syst. 122: 148-158 (2017) - [c55]Aymeric Blot, Alexis Pernet, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Holger H. Hoos:
Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation. EMO 2017: 61-76 - [c54]Aymeric Blot, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion:
Automatic design of multi-objective local search algorithms: case study on a bi-objective permutation flowshop scheduling problem. GECCO 2017: 227-234 - 2016
- [j24]Sophie Jacquin, Laetitia Jourdan, El-Ghazali Talbi:
A multi-objective dynamic programming-based metaheuristic to solve a bi-objective unit commitment problem using a multi-objective decoder. Int. J. Metaheuristics 5(1): 3-30 (2016) - [c53]Marie-Eléonore Marmion, Hernán E. Aguirre, Clarisse Dhaenens, Laetitia Jourdan, Kiyoshi Tanaka:
Multi-objective Neutral Neighbors': What could be the definition(s)? GECCO 2016: 349-356 - [c52]Aymeric Blot, Holger H. Hoos, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Heike Trautmann:
MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. LION 2016: 32-47 - [c51]Lucien Mousin, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Clarisse Dhaenens:
Feature Selection Using Tabu Search with Learning Memory: Learning Tabu Search. LION 2016: 141-156 - [c50]Maxence Vandromme, Julie Jacques, Julien Taillard, Laetitia Jourdan, Clarisse Dhaenens:
A Scalable Biclustering Method for Heterogeneous Medical Data. MOD 2016: 70-81 - [c49]Sophie Jacquin, Emilie Allart, Fanny Dufossé, Laetitia Jourdan:
Decoder-based evolutionary algorithm for bi-objective just-in-time single-machine job-shop. SSCI 2016: 1-8 - 2015
- [j23]Khedidja Seridi, Laetitia Jourdan, El-Ghazali Talbi:
Using multiobjective optimization for biclustering microarray data. Appl. Soft Comput. 33: 239-249 (2015) - [j22]Julie Jacques, Julien Taillard, David Delerue, Clarisse Dhaenens, Laetitia Jourdan:
Conception of a dominance-based multi-objective local search in the context of classification rule mining in large and imbalanced data sets. Appl. Soft Comput. 34: 705-720 (2015) - [c48]Aymeric Blot, Hernán E. Aguirre, Clarisse Dhaenens, Laetitia Jourdan, Marie-Eléonore Marmion, Kiyoshi Tanaka:
Neutral but a Winner! How Neutrality Helps Multiobjective Local Search Algorithms. EMO (1) 2015: 34-47 - [c47]Sophie Jacquin, Lucien Mousin, Igor Machado Coelho, El-Ghazali Talbi, Laetitia Jourdan:
A Comparison of Decoding Strategies for the 0/1 Multi-objective Unit Commitment Problem. EMO (1) 2015: 381-395 - [c46]Sophie Jacquin, Laetitia Jourdan, El-Ghazali Talbi:
DYNAMOP Applied to the Unit Commitment Problem. LION 2015: 223-228 - [c45]Benjamin Fisset, Clarisse Dhaenens, Laetitia Jourdan:
MO-Mine_clust: A Framework for Multi-objective Clustering. LION 2015: 293-305 - [p4]Julie Hamon, Julie Jacques, Laetitia Jourdan, Clarisse Dhaenens:
Knowledge Discovery in Bioinformatics. Handbook of Computational Intelligence 2015: 1211-1223 - [e2]Clarisse Dhaenens, Laetitia Jourdan, Marie-Eléonore Marmion:
Learning and Intelligent Optimization - 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers. Lecture Notes in Computer Science 8994, Springer 2015, ISBN 978-3-319-19083-9 [contents] - 2014
- [c44]Sophie Jacquin, Laetitia Jourdan, El-Ghazali Talbi:
Dynamic Programming Based Metaheuristic for Energy Planning Problems. EvoApplications 2014: 165-176 - 2013
- [j21]Sébastien Vérel, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens:
On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives. Eur. J. Oper. Res. 227(2): 331-342 (2013) - [j20]Laetitia Jourdan, El-Ghazali Talbi:
Editorial - Special Issue on New Advances in Metaheuristics. J. Math. Model. Algorithms 12(1): 1-2 (2013) - [j19]Marie-Eléonore Marmion, Laetitia Jourdan, Clarisse Dhaenens:
Fitness Landscape Analysis and Metaheuristics Efficiency. J. Math. Model. Algorithms 12(1): 3-26 (2013) - [j18]Mostepha Redouane Khouadjia, El-Ghazali Talbi, Laetitia Jourdan, Briseida Sarasola, Enrique Alba:
Multi-environmental cooperative parallel metaheuristics for solving dynamic optimization problems. J. Supercomput. 63(3): 836-853 (2013) - [c43]Khedidja Seridi, Laetitia Jourdan, El-Ghazali Talbi:
Preliminary Studies on Biclustering of GWA: A Multiobjective Approach. Artificial Evolution 2013: 106-117 - [c42]Khedidja Seridi, Laetitia Jourdan, El-Ghazali Talbi:
Multiobjective Path Relinking for Biclustering: Application to Microarray Data. EMO 2013: 200-214 - [c41]Julie Jacques, Julien Taillard, David Delerue, Laetitia Jourdan, Clarisse Dhaenens:
The benefits of using multi-objectivization for mining pittsburgh partial classification rules in imbalanced and discrete data. GECCO 2013: 543-550 - [c40]Julie Jacques, Julien Taillard, David Delerue, Laetitia Jourdan, Clarisse Dhaenens:
MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets. LION 2013: 37-51 - [c39]Marie-Eléonore Marmion, Aymeric Blot, Laetitia Jourdan, Clarisse Dhaenens:
Neutrality in the Graph Coloring Problem. LION 2013: 125-130 - [p3]Mostepha Redouane Khouadjia, Briseida Sarasola, Enrique Alba, El-Ghazali Talbi, Laetitia Jourdan:
Metaheuristics for Dynamic Vehicle Routing. Metaheuristics for Dynamic Optimization 2013: 265-289 - 2012
- [j17]Rémy Chevrier, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens:
Solving a dial-a-ride problem with a hybrid evolutionary multi-objective approach: Application to demand responsive transport. Appl. Soft Comput. 12(4): 1247-1258 (2012) - [j16]Mostepha Redouane Khouadjia, Briseida Sarasola, Enrique Alba, Laetitia Jourdan, El-Ghazali Talbi:
A comparative study between dynamic adapted PSO and VNS for the vehicle routing problem with dynamic requests. Appl. Soft Comput. 12(4): 1426-1439 (2012) - [j15]Arnaud Liefooghe, Matthieu Basseur, Jérémie Humeau, Laetitia Jourdan, El-Ghazali Talbi:
On optimizing a bi-objective flowshop scheduling problem in an uncertain environment. Comput. Math. Appl. 64(12): 3747-3762 (2012) - [j14]David Corne, Clarisse Dhaenens, Laetitia Jourdan:
Synergies between operations research and data mining: The emerging use of multi-objective approaches. Eur. J. Oper. Res. 221(3): 469-479 (2012) - [j13]Arnaud Liefooghe, Jérémie Humeau, Salma Mesmoudi, Laetitia Jourdan, El-Ghazali Talbi:
On dominance-based multiobjective local search: design, implementation and experimental analysis on scheduling and traveling salesman problems. J. Heuristics 18(2): 317-352 (2012) - [c38]Khedidja Seridi, Laetitia Jourdan, El-Ghazali Talbi:
Hybrid metaheuristic for multi-objective biclustering in microarray data. CIBCB 2012: 222-228 - [c37]Khedidja Seridi, Laetitia Jourdan, El-Ghazali Talbi:
Parallel Hybrid Metaheuristic for Multi-objective Biclustering in Microarray Data. IPDPS Workshops 2012: 625-633 - [i6]Marie-Eléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Vérel:
NILS: a Neutrality-based Iterated Local Search and its application to Flowshop Scheduling. CoRR abs/1207.4450 (2012) - [i5]Sébastien Vérel, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens:
Pareto Local Optima of Multiobjective NK-Landscapes with Correlated Objectives. CoRR abs/1207.4452 (2012) - [i4]Marie-Eléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Vérel:
The Road to VEGAS: Guiding the Search over Neutral Networks. CoRR abs/1207.4626 (2012) - [i3]Sébastien Vérel, Arnaud Liefooghe, Jérémie Humeau, Laetitia Jourdan, Clarisse Dhaenens:
On the Effect of Connectedness for Biobjective Multiple and Long Path Problems. CoRR abs/1207.4628 (2012) - [i2]Marie-Eléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Vérel:
On the Neutrality of Flowshop Scheduling Fitness Landscapes. CoRR abs/1207.4629 (2012) - [i1]Sébastien Vérel, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens:
Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes. CoRR abs/1207.4631 (2012) - 2011
- [j12]Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali Talbi:
Metaheuristics based de novo protein sequencing: A new approach. Appl. Soft Comput. 11(2): 2271-2278 (2011) - [j11]Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi:
A software framework based on a conceptual unified model for evolutionary multiobjective optimization: ParadisEO-MOEO. Eur. J. Oper. Res. 209(2): 104-112 (2011) - [c36]Khedidja Seridi, Laetitia Jourdan, El-Ghazali Talbi:
Multi-objective evolutionary algorithm for biclustering in microarrays data. IEEE Congress on Evolutionary Computation 2011: 2593-2599 - [c35]Marie-Eléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Vérel:
NILS: A Neutrality-Based Iterated Local Search and Its Application to Flowshop Scheduling. EvoCOP 2011: 191-202 - [c34]Sébastien Vérel, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens:
Pareto Local Optima of Multiobjective NK-Landscapes with Correlated Objectives. EvoCOP 2011: 226-237 - [c33]Briseida Sarasola, Mostepha Redouane Khouadjia, Enrique Alba, Laetitia Jourdan, El-Ghazali Talbi:
Flexible Variable Neighborhood Search in Dynamic Vehicle Routing. EvoApplications (1) 2011: 344-353 - [c32]Marie-Eléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Vérel:
The road to VEGAS: guiding the search over neutral networks. GECCO 2011: 1979-1986 - [c31]Mostepha Redouane Khouadjia, Briseida Sarasola, Enrique Alba, Laetitia Jourdan, El-Ghazali Talbi:
Multi-environmental Cooperative Parallel Metaheuristics for Solving Dynamic Optimization Problems. IPDPS Workshops 2011: 395-403 - [c30]Sébastien Vérel, Arnaud Liefooghe, Jérémie Humeau, Laetitia Jourdan, Clarisse Dhaenens:
On the Effect of Connectedness for Biobjective Multiple and Long Path Problems. LION 2011: 31-45 - [c29]Sébastien Vérel, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens:
Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes. LION 2011: 116-130 - [c28]Marie-Eléonore Marmion, Clarisse Dhaenens, Laetitia Jourdan, Arnaud Liefooghe, Sébastien Vérel:
On the Neutrality of Flowshop Scheduling Fitness Landscapes. LION 2011: 238-252 - 2010
- [b2]Laetitia Jourdan:
Métaheuristiques Coopératives : du déterministe au stochastique. Lille University of Science and Technology, France, 2010 - [j10]Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi:
Metaheuristics and cooperative approaches for the Bi-objective Ring Star Problem. Comput. Oper. Res. 37(6): 1033-1044 (2010) - [j9]Laetitia Jourdan, El-Ghazali Talbi:
Special Issue on Recent Developments in Bioinspired Algorithms. J. Math. Model. Algorithms 9(2): 129-130 (2010) - [j8]Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali Talbi, Dragos Horvath:
Single- and Multi-Objective Cooperation for the Flexible Docking Problem. J. Math. Model. Algorithms 9(2): 195-208 (2010) - [c27]Mostepha Redouane Khouadjia, Laetitia Jourdan, El-Ghazali Talbi:
Adaptive particle swarm for solving the Dynamic Vehicle Routing Problem. AICCSA 2010: 1-8 - [c26]Marie-Eléonore Marmion, Jérémie Humeau, Laetitia Jourdan, Clarisse Dhaenens:
Comparison of neighborhoods for the HFF-AVRP. AICCSA 2010: 1-7 - [c25]Mostepha Redouane Khouadjia, Enrique Alba, Laetitia Jourdan, El-Ghazali Talbi:
Multi-Swarm Optimization for Dynamic Combinatorial Problems: A Case Study on Dynamic Vehicle Routing Problem. ANTS Conference 2010: 227-238 - [c24]Dalia Sulieman, Laetitia Jourdan, El-Ghazali Talbi:
Using multiobjective metaheuristics to solve VRP with uncertain demands. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c23]Salma Mesmoudi, Jorge Tavares, Laetitia Jourdan, El-Ghazali Talbi:
Variable Genetic Operator Search for the Molecular Docking Problem. EvoBIO 2010: 1-12 - [c22]Waldo Cancino Ticona, Laetitia Jourdan, El-Ghazali Talbi, Alexandre C. B. Delbem:
Parallel Multi-Objective Approaches for Inferring Phylogenies. EvoBIO 2010: 26-37 - [c21]Rémy Chevrier, Arnaud Liefooghe, Laetitia Jourdan, Clarisse Dhaenens:
On optimizing a demand responsive transport with an evolutionary multi-objective approach. ITSC 2010: 575-580 - [c20]Waldo Cancino Ticona, Laetitia Jourdan, El-Ghazali Talbi, Alexandre C. B. Delbem:
A Parallel Multi-Objective Evolutionary Algorithm for Phylogenetic Inference. LION 2010: 196-199 - [p2]Carlos A. Coello Coello, Clarisse Dhaenens, Laetitia Jourdan:
Multi-Objective Combinatorial Optimization: Problematic and Context. Advances in Multi-Objective Nature Inspired Computing 2010: 1-21 - [p1]Arnaud Liefooghe, Laetitia Jourdan, Thomas Legrand, Jérémie Humeau, El-Ghazali Talbi:
ParadisEO-MOEO: A Software Framework for Evolutionary Multi-Objective Optimization. Advances in Multi-Objective Nature Inspired Computing 2010: 87-117 - [e1]Carlos A. Coello Coello, Clarisse Dhaenens, Laetitia Jourdan:
Advances in Multi-Objective Nature Inspired Computing. Studies in Computational Intelligence 272, Springer 2010, ISBN 978-3-642-11217-1 [contents]
2000 – 2009
- 2009
- [j7]Laetitia Jourdan, Matthieu Basseur, El-Ghazali Talbi:
Hybridizing exact methods and metaheuristics: A taxonomy. Eur. J. Oper. Res. 199(3): 620-629 (2009) - [j6]José García-Nieto, Enrique Alba, Laetitia Jourdan, El-Ghazali Talbi:
Sensitivity and specificity based multiobjective approach for feature selection: Application to cancer diagnosis. Inf. Process. Lett. 109(16): 887-896 (2009) - [c19]Arnaud Liefooghe, Laetitia Jourdan, El-Ghazali Talbi:
A unified model for evolutionary multi-objective optimization and its implementation in a general purpose software framework. MCDM 2009: 88-95 - [c18]Arnaud Liefooghe, Salma Mesmoudi, Jérémie Humeau, Laetitia Jourdan, El-Ghazali Talbi:
A Study on Dominance-Based Local Search Approaches for Multiobjective Combinatorial Optimization. SLS 2009: 120-124 - [r2]Laetitia Jourdan:
Evolutionary Data Mining for Genomics. Encyclopedia of Data Warehousing and Mining 2009: 823-828 - 2008
- [j5]Laetitia Jourdan, El-Ghazali Talbi:
Guest Editorial - Special Issue on Metaheuristics. J. Math. Model. Algorithms 7(2): 99-100 (2008) - [j4]Arnaud Liefooghe, Laetitia Jourdan, Matthieu Basseur, El-Ghazali Talbi:
Métaheuristiques pour le flow-shop de permutation bi-objectif stochastique. Rev. d'Intelligence Artif. 22(2): 183-208 (2008) - [c17]El-Ghazali Talbi, Laetitia Jourdan, José García-Nieto, Enrique Alba:
Comparison of population based metaheuristics for feature selection: Application to microarray data classification. AICCSA 2008: 45-52 - [c16]Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali Talbi, Dragos Horvath:
Parallel multi-objective algorithms for the molecular docking problem. CIBCB 2008: 187-194 - [c15]Arnaud Liefooghe, Laetitia Jourdan, Matthieu Basseur, El-Ghazali Talbi, Edmund K. Burke:
Metaheuristics for the Bi-objective Ring Star Problem. EvoCOP 2008: 206-217 - [c14]Arnaud Liefooghe, Laetitia Jourdan, Nicolas Jozefowiez, El-Ghazali Talbi:
On the Integration of a TSP Heuristic into an EA for the Bi-objective Ring Star Problem. Hybrid Metaheuristics 2008: 117-130 - 2007
- [c13]Enrique Alba, José García-Nieto, Laetitia Jourdan, El-Ghazali Talbi:
Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms. IEEE Congress on Evolutionary Computation 2007: 284-290 - [c12]Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan, El-Ghazali Talbi:
ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization. EMO 2007: 386-400 - [c11]Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan, El-Ghazali Talbi:
Combinatorial Optimization of Stochastic Multi-objective Problems: An Application to the Flow-Shop Scheduling Problem. EMO 2007: 457-471 - [c10]Oliver Schütze, Laetitia Jourdan, Thomas Legrand, El-Ghazali Talbi, Jean Luc Wojkiewicz:
A Multi-objective Approach to the Design of Conducting Polymer Composites for Electromagnetic Shielding. EMO 2007: 590-603 - [c9]José García-Nieto, Enrique Alba, Laetitia Jourdan, El-Ghazali Talbi:
A comparison of PSO and GA approaches for gene selection and classification of microarray data. GECCO 2007: 427 - 2006
- [c8]Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali Talbi, Christian Rolando:
A Preliminary Work on Evolutionary Identification of Protein Variants and New Proteins on Grids. AINA (2) 2006: 583-587 - [c7]Jean-Charles Boisson, Laetitia Jourdan, El-Ghazali Talbi, Christian Rolando:
Protein Sequencing with an Adaptive Genetic Algorithm from Tandem Mass Spectrometry. IEEE Congress on Evolutionary Computation 2006: 1412-1419 - [c6]Laetitia Jourdan, Clarisse Dhaenens, El-Ghazali Talbi:
Using Datamining Techniques to Help Metaheuristics: A Short Survey. Hybrid Metaheuristics 2006: 57-69 - 2005
- [j3]Laetitia Vermeulen-Jourdan, Clarisse Dhaenens, El-Ghazali Talbi:
Linkage disequilibrium study with a parallel adaptive GA. Int. J. Found. Comput. Sci. 16(2): 241-260 (2005) - [c5]Laetitia Jourdan, David Corne, Dragan A. Savic, Godfrey A. Walters:
Preliminary Investigation of the 'Learnable Evolution Model' for Faster/Better Multiobjective Water Systems Design. EMO 2005: 841-855 - [r1]El-Ghazali Talbi, Laetitia Jourdan, Mohamed Khabzaoui, Clarisse Dhaenens:
A Hybrid Evolutionary Algorithm for Knowledge Discovery in Microarray Experiments. Handbook of Bioinspired Algorithms and Applications 2005 - 2004
- [c4]Laetitia Vermeulen-Jourdan, Clarisse Dhaenens, El-Ghazali Talbi:
Clustering Nominal and Numerical Data: A New Distance Concept for a Hybrid Genetic Algorithm. EvoCOP 2004: 220-229 - [c3]Laetitia Vermeulen-Jourdan, David Corne, Dragan A. Savic, Godfrey A. Walters:
Hybridising Rule Induction and Multi-Objective Evolutionary Search for Optimising Water Distribution Systems. HIS 2004: 434-439 - [c2]Laetitia Vermeulen-Jourdan, Clarisse Dhaenens, El-Ghazali Talbi:
A Parallel Adaptive GA for Linkage Disequilibrium in Genomics. IPDPS 2004 - 2003
- [b1]Laetitia Jourdan:
Métaheuristiques pour l'extraction de connaissances: Application à la génomique. (Metaheuristics for knowledge discovery : Application to genetic data). Lille University of Science and Technology, France, 2003 - [c1]Laetitia Jourdan, Clarisse Dhaenens, El-Ghazali Talbi:
Discovering Haplotypes in Linkage Disequilibrium Mapping with an Adaptive Genetic Algorithm. EvoWorkshops 2003: 66-75 - 2002
- [j2]Laetitia Jourdan, Clarisse Dhaenens, El-Ghazali Talbi, Sophie Gallina:
A data mining approach to discover genetic and environmental factors involved in multifactorial diseases. Knowl. Based Syst. 15(4): 235-242 (2002) - [j1]Laetitia Jourdan, Clarisse Dhaenens, El-Ghazali Talbi:
ASGARD : un algorithme génétique pour les règles d'association. Application à la génomique. Rev. d'Intelligence Artif. 16(6): 657-683 (2002)
Coauthor Index
[j24] [j23] [c47] [c46] [c44] [j20] [j18] [c43] [c42] [p3] [j16] [j15] [j13] [c38] [c37] [j12] [j11] [c36] [c33] [c31] [j10] [j9] [j8] [c27] [c25] [c24] [c23] [c22] [c20] [p1] [j7] [j6] [c19] [c18] [j5] [j4] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [j3] [r1] [c4] [c2] [c1] [j2] [j1]
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