Clarisse Dhaenens

According to our database1, Clarisse Dhaenens authored at least 60 papers between 1998 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2019
Exploiting Promising Sub-Sequences of Jobs to solve the No-Wait Flowshop Scheduling Problem.
CoRR, 2019

Metaheuristics for data mining - Survey and opportunities for big data.
4OR, 2019

2017
Extraction and optimization of classification rules for temporal sequences: Application to hospital data.
Knowl.-Based Syst., 2017

A New Constructive Heuristic for the No-Wait Flowshop Scheduling Problem.
Proceedings of the Learning and Intelligent Optimization - 11th International Conference, 2017

Neutral Neighbors in Bi-objective Optimization: Distribution of the Most Promising for Permutation Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

2016
A Scalable Biclustering Method for Heterogeneous Medical Data.
Proceedings of the Machine Learning, Optimization, and Big Data, 2016

Feature Selection Using Tabu Search with Learning Memory: Learning Tabu Search.
Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016

Multi-objective Neutral Neighbors': What could be the definition(s)?
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015
Knowledge Discovery in Bioinformatics.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

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., 2015

MO-Mine_clust: A Framework for Multi-objective Clustering.
Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015

Neutral but a Winner! How Neutrality Helps Multiobjective Local Search Algorithms.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

2013
Fitness Landscape Analysis and Metaheuristics Efficiency.
J. Math. Model. Algorithms, 2013

On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives.
European Journal of Operational Research, 2013

Neutrality in the Graph Coloring Problem.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

The benefits of using multi-objectivization for mining pittsburgh partial classification rules in imbalanced and discrete data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Synergies between operations research and data mining: The emerging use of multi-objective approaches.
European Journal of Operational Research, 2012

Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes
CoRR, 2012

On the Neutrality of Flowshop Scheduling Fitness Landscapes
CoRR, 2012

On the Effect of Connectedness for Biobjective Multiple and Long Path Problems
CoRR, 2012

The Road to VEGAS: Guiding the Search over Neutral Networks
CoRR, 2012

Pareto Local Optima of Multiobjective NK-Landscapes with Correlated Objectives
CoRR, 2012

Set-based Multiobjective Fitness Landscapes: A Preliminary Study
CoRR, 2012

NILS: a Neutrality-based Iterated Local Search and its application to Flowshop Scheduling
CoRR, 2012

Solving a dial-a-ride problem with a hybrid evolutionary multi-objective approach: Application to demand responsive transport.
Appl. Soft Comput., 2012

2011
Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

On the Effect of Connectedness for Biobjective Multiple and Long Path Problems.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

On the Neutrality of Flowshop Scheduling Fitness Landscapes.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

Set-based multiobjective fitness landscapes: a preliminary study.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

The road to VEGAS: guiding the search over neutral networks.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Pareto Local Optima of Multiobjective NK-Landscapes with Correlated Objectives.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011

NILS: A Neutrality-Based Iterated Local Search and Its Application to Flowshop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011

2010
Multi-Objective Combinatorial Optimization: Problematic and Context.
Proceedings of the Advances in Multi-Objective Nature Inspired Computing, 2010

K-PPM: A new exact method to solve multi-objective combinatorial optimization problems.
European Journal of Operational Research, 2010

On optimizing a demand responsive transport with an evolutionary multi-objective approach.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

Comparison of neighborhoods for the HFF-AVRP.
Proceedings of the 8th ACS/IEEE International Conference on Computer Systems and Applications, 2010

2009
Articles ROADEF 2006.
RAIRO - Operations Research, 2009

Cooperative combinatorial optimization.
European Journal of Operational Research, 2009

2008
Combining evolutionary algorithms and exact approaches for multi-objective knowledge discovery.
RAIRO - Operations Research, 2008

Editorial.
RAIRO - Operations Research, 2008

A priori landscape analysis in guiding interactive multi-objective metaheuristics.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
An exact parallel method for a bi-objective permutation flowshop problem.
European Journal of Operational Research, 2007

Parallel partitioning method (PPM): A new exact method to solve bi-objective problems.
Computers & OR, 2007

2006
Using Datamining Techniques to Help Metaheuristics: A Short Survey.
Proceedings of the Hybrid Metaheuristics, Third International Workshop, 2006

2005
A Hybrid Evolutionary Algorithm for Knowledge Discovery in Microarray Experiments.
Proceedings of the Handbook of Bioinspired Algorithms and Applications., 2005

Linkage disequilibrium study with a parallel adaptive GA.
Int. J. Found. Comput. Sci., 2005

Grid for Geno-Medicine: a glimpse on the GGM project.
Proceedings of the 5th International Symposium on Cluster Computing and the Grid (CCGrid 2005), 2005

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).
, 2005

2004
Cooperation between Branch and Bound and Evolutionary Approaches to Solve a Bi-objective Flow Shop Problem.
Proceedings of the Experimental and Efficient Algorithms, Third International Workshop, 2004

A Parallel Adaptive GA for Linkage Disequilibrium in Genomics.
Proceedings of the 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), 2004

Clustering Nominal and Numerical Data: A New Distance Concept for a Hybrid Genetic Algorithm.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2004

A multicriteria genetic algorithm to analyze microarray data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Discovering Haplotypes in Linkage Disequilibrium Mapping with an Adaptive Genetic Algorithm.
Proceedings of the Applications of Evolutionary Computing, 2003

Information grids: managing and mining semantic data in a grid infrastructure; open issues and application to geno-medical data.
Proceedings of the 14th International Workshop on Database and Expert Systems Applications (DEXA'03), 2003

2002
ASGARD : un algorithme génétique pour les règles d'association. Application à la génomique.
Revue d'Intelligence Artificielle, 2002

A data mining approach to discover genetic and environmental factors involved in multifactorial diseases.
Knowl.-Based Syst., 2002

Minimizing the makespan on a batch machine with non-identical job sizes: an exact procedure.
Computers & OR, 2002

2001
A Hybrid Evolutionary Approach for Multicriteria Optimization Problems: Application to the Flow Shop.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2001

1998
Optimisation d'un réseau de production et de distribution. (Optimisation of a production and distribution network).
PhD thesis, 1998


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