Optimisation d'un réseau de production et de distribution. (Optimisation of a production and distribution network). - Clarisse Dhaenens-Flipo (1998)

A Hybrid Evolutionary Approach for Multicriteria Optimization Problems: Application to the Flow Shop. - El-Ghazali Talbi; Malek Rahoual; Mohamed Hakim Mabed; Clarisse Dhaenens (EMO, 2001)

Minimizing the makespan on a batch machine with non-identical job sizes: an exact procedure. - Lionel Dupont; Clarisse Dhaenens-Flipo (Comput. Oper. Res., 2002)

A data mining approach to discover genetic and environmental factors involved in multifactorial diseases. - Laetitia Jourdan; Clarisse Dhaenens; El-Ghazali Talbi; Sophie Gallina (Knowl. Based Syst., 2002)

ASGARD : un algorithme génétique pour les règles d'association. Application à la génomique. - Laetitia Jourdan; Clarisse Dhaenens; El-Ghazali Talbi (Rev. d'Intelligence Artif., 2002)

Information grids: managing and mining semantic data in a grid infrastructure; open issues and application to geno-medical data. - Lionel Brunie; Maryvonne Miquel; Jean-Marc Pierson; Anne Tchounikine; Clarisse Dhaenens; Nouredine Melab; El-Ghazali Talbi; Abdelkader Hameurlain; Franck Morvan (DEXA Workshops, 2003)

Discovering Haplotypes in Linkage Disequilibrium Mapping with an Adaptive Genetic Algorithm. - Laetitia Jourdan; Clarisse Dhaenens; El-Ghazali Talbi (EvoWorkshops, 2003)

A multicriteria genetic algorithm to analyze microarray data. - Mohamed Khabzaoui; Clarisse Dhaenens; El-Ghazali Talbi (IEEE Congress on Evolutionary Computation, 2004)

Clustering Nominal and Numerical Data: A New Distance Concept for a Hybrid Genetic Algorithm. - Laetitia Vermeulen-Jourdan; Clarisse Dhaenens; El-Ghazali Talbi (EvoCOP, 2004)

A Parallel Adaptive GA for Linkage Disequilibrium in Genomics. - Laetitia Vermeulen-Jourdan; Clarisse Dhaenens; El-Ghazali Talbi (IPDPS, 2004)

Cooperation between Branch and Bound and Evolutionary Approaches to Solve a Bi-objective Flow Shop Problem. - Matthieu Basseur; Julien Lemesre; Clarisse Dhaenens; El-Ghazali Talbi (WEA, 2004)

Optimisation Combinatoire Multi-Objectif : Apport des méthodes coopératives et contribution à l'extraction de connaissances. (Multi-objective combinatorial Optimization: contribution of cooperative methods and application to knowledge discovery). - Clarisse Dhaenens (2005)

Grid for Geno-Medicine: a glimpse on the GGM project. - Jean-Marc Pierson; Lionel Brunie; Clarisse Dhaenens; Abdelkader Hameurlain; Nordine Melab; Maryvonne Miquel; Franck Morvan; El-Ghazali Talbi; Anne Tchounikine (CCGRID, 2005)

Linkage disequilibrium study with a parallel adaptive GA. - Laetitia Vermeulen-Jourdan; Clarisse Dhaenens; El-Ghazali Talbi (Int. J. Found. Comput. Sci., 2005)

A Hybrid Evolutionary Algorithm for Knowledge Discovery in Microarray Experiments. - El-Ghazali Talbi; Laetitia Jourdan; Mohamed Khabzaoui; Clarisse Dhaenens (Handbook of Bioinspired Algorithms and Applications, 2005)

Using Datamining Techniques to Help Metaheuristics: A Short Survey. - Laetitia Jourdan; Clarisse Dhaenens; El-Ghazali Talbi (Hybrid Metaheuristics, 2006)

Parallel partitioning method (PPM): A new exact method to solve bi-objective problems. - Julien Lemesre; Clarisse Dhaenens; El-Ghazali Talbi (Comput. Oper. Res., 2007)

An exact parallel method for a bi-objective permutation flowshop problem. - Julien Lemesre; Clarisse Dhaenens; El-Ghazali Talbi (Eur. J. Oper. Res., 2007)

A priori landscape analysis in guiding interactive multi-objective metaheuristics. - Emilia Tantar; Clarisse Dhaenens; José Rui Figueira; El-Ghazali Talbi (IEEE Congress on Evolutionary Computation, 2008)

Editorial. - Clarisse Dhaenens; Patrick Siarry; El-Ghazali Talbi (RAIRO Oper. Res., 2008)

Combining evolutionary algorithms and exact approaches for multi-objective knowledge discovery. - Mohamed Khabzaoui; Clarisse Dhaenens; El-Ghazali Talbi (RAIRO Oper. Res., 2008)

Cooperative combinatorial optimization. - El-Ghazali Talbi; Clarisse Dhaenens (Eur. J. Oper. Res., 2009)

Articles ROADEF 2006. - Luce Brotcorne; Clarisse Dhaenens; Saïd Hanafi; El-Ghazali Talbi (RAIRO Oper. Res., 2009)

Comparison of neighborhoods for the HFF-AVRP. - Marie-Eléonore Marmion; Jérémie Humeau; Laetitia Jourdan; Clarisse Dhaenens (AICCSA, 2010)

On optimizing a demand responsive transport with an evolutionary multi-objective approach. - Rémy Chevrier; Arnaud Liefooghe; Laetitia Jourdan; Clarisse Dhaenens (ITSC, 2010)

K-PPM: A new exact method to solve multi-objective combinatorial optimization problems. - Clarisse Dhaenens; Julien Lemesre; El-Ghazali Talbi (Eur. J. Oper. Res., 2010)

Multi-Objective Combinatorial Optimization: Problematic and Context. - Carlos A. Coello Coello; Clarisse Dhaenens; Laetitia Jourdan (Advances in Multi-Objective Nature Inspired Computing, 2010)

NILS: A Neutrality-Based Iterated Local Search and Its Application to Flowshop Scheduling. - Marie-Eléonore Marmion; Clarisse Dhaenens; Laetitia Jourdan; Arnaud Liefooghe; Sébastien Vérel (EvoCOP, 2011)

Pareto Local Optima of Multiobjective NK-Landscapes with Correlated Objectives. - Sébastien Vérel; Arnaud Liefooghe; Laetitia Jourdan; Clarisse Dhaenens (EvoCOP, 2011)

The road to VEGAS: guiding the search over neutral networks. - Marie-Eléonore Marmion; Clarisse Dhaenens; Laetitia Jourdan; Arnaud Liefooghe; Sébastien Vérel (GECCO, 2011)

Set-based multiobjective fitness landscapes: a preliminary study. - Sébastien Vérel; Arnaud Liefooghe; Clarisse Dhaenens (GECCO, 2011)

On the Neutrality of Flowshop Scheduling Fitness Landscapes. - Marie-Eléonore Marmion; Clarisse Dhaenens; Laetitia Jourdan; Arnaud Liefooghe; Sébastien Vérel (LION, 2011)

On the Effect of Connectedness for Biobjective Multiple and Long Path Problems. - Sébastien Vérel; Arnaud Liefooghe; Jérémie Humeau; Laetitia Jourdan; Clarisse Dhaenens (LION, 2011)

Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes. - Sébastien Vérel; Arnaud Liefooghe; Laetitia Jourdan; Clarisse Dhaenens (LION, 2011)

Solving a dial-a-ride problem with a hybrid evolutionary multi-objective approach: Application to demand responsive transport. - Rémy Chevrier; Arnaud Liefooghe; Laetitia Jourdan; Clarisse Dhaenens (Appl. Soft Comput., 2012)

Synergies between operations research and data mining: The emerging use of multi-objective approaches. - David Corne; Clarisse Dhaenens; Laetitia Jourdan (Eur. J. Oper. Res., 2012)

The benefits of using multi-objectivization for mining pittsburgh partial classification rules in imbalanced and discrete data. - Julie Jacques; Julien Taillard; David Delerue; Laetitia Jourdan; Clarisse Dhaenens (GECCO, 2013)

MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets. - Julie Jacques; Julien Taillard; David Delerue; Laetitia Jourdan; Clarisse Dhaenens (LION, 2013)

Neutrality in the Graph Coloring Problem. - Marie-Eléonore Marmion; Aymeric Blot; Laetitia Jourdan; Clarisse Dhaenens (LION, 2013)

On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives. - Sébastien Vérel; Arnaud Liefooghe; Laetitia Jourdan; Clarisse Dhaenens (Eur. J. Oper. Res., 2013)

Fitness Landscape Analysis and Metaheuristics Efficiency. - Marie-Eléonore Marmion; Laetitia Jourdan; Clarisse Dhaenens (J. Math. Model. Algorithms, 2013)

Neutral but a Winner! How Neutrality Helps Multiobjective Local Search Algorithms. - Aymeric Blot; Hernán E. Aguirre; Clarisse Dhaenens; Laetitia Jourdan; Marie-Eléonore Marmion; Kiyoshi Tanaka (EMO (1), 2015)

MO-Mine_clust: A Framework for Multi-objective Clustering. - Benjamin Fisset; Clarisse Dhaenens; Laetitia Jourdan (LION, 2015)

Conception of a dominance-based multi-objective local search in the context of classification rule mining in large and imbalanced data sets. - Julie Jacques; Julien Taillard; David Delerue; Clarisse Dhaenens; Laetitia Jourdan (Appl. Soft Comput., 2015)

Knowledge Discovery in Bioinformatics. - Julie Hamon; Julie Jacques; Laetitia Jourdan; Clarisse Dhaenens (Handbook of Computational Intelligence, 2015)

Multi-objective Neutral Neighbors': What could be the definition(s)? - Marie-Eléonore Marmion; Hernán E. Aguirre; Clarisse Dhaenens; Laetitia Jourdan; Kiyoshi Tanaka (GECCO, 2016)

Feature Selection Using Tabu Search with Learning Memory: Learning Tabu Search. - Lucien Mousin; Laetitia Jourdan; Marie-Éléonore Kessaci-Marmion; Clarisse Dhaenens (LION, 2016)

A Scalable Biclustering Method for Heterogeneous Medical Data. - Maxence Vandromme; Julie Jacques; Julien Taillard; Laetitia Jourdan; Clarisse Dhaenens (MOD, 2016)

Neutral Neighbors in Bi-objective Optimization: Distribution of the Most Promising for Permutation Problems. - Marie-Éléonore Kessaci-Marmion; Clarisse Dhaenens; Jérémie Humeau (EMO, 2017)

A New Constructive Heuristic for the No-Wait Flowshop Scheduling Problem. - Lucien Mousin; Marie-Eléonore Kessaci; Clarisse Dhaenens (LION, 2017)

Extraction and optimization of classification rules for temporal sequences: Application to hospital data. - Maxence Vandromme; Julie Jacques; Julien Taillard; Arnaud Hansske; Laetitia Vermeulen-Jourdan; Clarisse Dhaenens (Knowl. Based Syst., 2017)

Metaheuristics for data mining - Survey and opportunities for big data. - Clarisse Dhaenens; Laetitia Jourdan (4OR, 2019)

Exploiting Promising Sub-Sequences of Jobs to solve the No-Wait Flowshop Scheduling Problem. - Lucien Mousin; Marie-Eléonore Kessaci; Clarisse Dhaenens (CoRR, 2019)

An Approximate Method for Integrated Stochastic Replenishment Planning with Supplier Selection. - Rabin Kumar Sahu; Clarisse Dhaenens; Nadarajen Veerapen; Manuel Davy (ICORES, 2020)

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. - Julie Jacques; Hélène Martin-Huyghe; Justine Lemtiri-Florek; Julien Taillard; Laetitia Jourdan; Clarisse Dhaenens; David Delerue; Arnaud Hansske; Valérie Leclercq (Int. J. Medical Informatics, 2020)

LS-PON: A Prediction-Based Local Search for Neural Architecture Search. - Meyssa Zouambi; Julie Jacques; Clarisse Dhaenens (LOD (1), 2022)

Multi-view Clustering of Heterogeneous Health Data: Application to Systemic Sclerosis. - Adán José García; Julie Jacques; Alexandre Filiot; Julia Handl; David Launay; Vincent Sobanski; Clarisse Dhaenens (PPSN (2), 2022)

Biclustering Algorithms Based on Metaheuristics: A Review. - Adán José García; Julie Jacques; Vincent Sobanski; Clarisse Dhaenens (CoRR, 2022)

A Biclustering Method for Heterogeneous and Temporal Medical Data. - Maxence Vandromme; Julie Jacques; Julien Taillard; Laetitia Jourdan; Clarisse Dhaenens (IEEE Trans. Knowl. Data Eng., 2022)

An Alternative Pareto-Based Approach to Multi-Objective Neural Architecture Search. - Meyssa Zouambi; Clarisse Dhaenens; Julie Jacques (CEC, 2023)

HBIC: A Biclustering Algorithm for Heterogeneous Datasets. - Adán José García; Julie Jacques; Clément Chauvet; Vincent Sobanski; Clarisse Dhaenens (ECAI, 2024)

γ-clustering problems: Classical and parametrized complexity. - Julien Baste; Antoine Castillon; Clarisse Dhaenens; Mohammed Haddad 001; Hamida Seba (Theor. Comput. Sci., 2024)

Metaheuristic Biclustering Algorithms: From State-of-the-art to Future Opportunities. - Adán José García; Julie Jacques; Vincent Sobanski; Clarisse Dhaenens (ACM Comput. Surv., 2024)

Adaptive Local Search for Real-World Multi-echelon Inventory Control. - Agathe Métaireau; Clarisse Dhaenens; Nadarajen Veerapen; Manuel Davy (EvoApplications (2), 2025)