Laetitia Vermeulen-Jourdan
Orcid: 0000-0002-4170-6830Affiliations:
- LIFL Lille, France
According to our database1,
Laetitia Vermeulen-Jourdan
authored at least 129 papers
between 2002 and 2023.
Collaborative distances:
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Bibliography
2023
Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
A Hybrid Genetic Approach for Bi-Level Flexible Job Shops Arising from Selective Deconstruction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
Soft Comput., 2022
Preface to the Special Cluster on Stochastic Local Search: Recent Developments and Trends.
Int. Trans. Oper. Res., 2022
Ann. Oper. Res., 2022
Towards hybridization of multi-agent simulation and metaheuristics applied to selective deconstruction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Dynamic Dempster Multi-Layer Perceptron for the prediction of admission patient in emergency department.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
New Neighborhood Strategies for the Bi-objective Vehicle Routing Problem with Time Windows.
Proceedings of the Metaheuristics - 14th International Conference, 2022
A Multi-objective 3D Offline UAV Path Planning Problem with Variable Flying Altitude.
Proceedings of the Artificial Evolution, 2022
2021
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
AutoTSC: Optimization Algorithm to Automatically Solve the Time Series Classification Problem.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Proceedings of the Computational Science - ICCS 2021, 2021
Proceedings of the Hybrid Intelligent Systems, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
A Multi-Objective Evolutionary Approach to Professional Course Timetabling: A Real-World Case Study.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Int. Trans. Oper. Res., 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.
Int. J. Medical Informatics, 2020
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Automatic Configuration of a Multi-objective Local Search for Imbalanced Classification.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Impact of the Discretization of VOCs for Cancer Prediction Using a Multi-Objective Algorithm.
Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020
Automatic Configuration of Multi-Thread Local Search: Preliminary Results on Bi-objective TSP.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Bypassing or flying above the obstacles? A novel multi-objective UAV path planning problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Automatic Configuration of Multi-Objective Local Search Algorithms for Permutation Problems.
Evol. Comput., 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
TPOT-SH: A Faster Optimization Algorithm to Solve the AutoML Problem on Large Datasets.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019
Proceedings of the Artificial Evolution, 2019
2018
Survey and unification of local search techniques in metaheuristics for multi-objective combinatorial optimisation.
J. Heuristics, 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
New Initialisation Techniques for Multi-objective Local Search - Application to the Bi-objective Permutation Flowshop.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Adaptive Multi-objective Local Search Algorithms for the Permutation Flowshop Scheduling Problem.
Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018
Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018
Automatic Configuration of Bi-Objective Optimisation Algorithms: Impact of Correlation Between Objectives.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
2017
Extraction and optimization of classification rules for temporal sequences: Application to hospital data.
Knowl. Based Syst., 2017
Automatic design of multi-objective local search algorithms: case study on a bi-objective permutation flowshop scheduling problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Automatically Configuring Multi-objective Local Search Using Multi-objective Optimisation.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017
2016
A multi-objective dynamic programming-based metaheuristic to solve a bi-objective unit commitment problem using a multi-objective decoder.
Int. J. Metaheuristics, 2016
Decoder-based evolutionary algorithm for bi-objective just-in-time single-machine job-shop.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the Machine Learning, Optimization, and Big Data, 2016
Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016
Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
2015
Proceedings of the Springer Handbook of Computational Intelligence, 2015
Appl. Soft Comput., 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
Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015
Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015
A Comparison of Decoding Strategies for the 0/1 Multi-objective Unit Commitment Problem.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015
2014
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014
2013
Proceedings of the Metaheuristics for Dynamic Optimization, 2013
Multi-environmental cooperative parallel metaheuristics for solving dynamic optimization problems.
J. Supercomput., 2013
J. Math. Model. Algorithms, 2013
J. Math. Model. Algorithms, 2013
On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives.
Eur. J. Oper. Res., 2013
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
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013
Proceedings of the Artificial Evolution, 2013
2012
On dominance-based multiobjective local search: design, implementation and experimental analysis on scheduling and traveling salesman problems.
J. Heuristics, 2012
Synergies between operations research and data mining: The emerging use of multi-objective approaches.
Eur. J. Oper. Res., 2012
On optimizing a bi-objective flowshop scheduling problem in an uncertain environment.
Comput. Math. Appl., 2012
A comparative study between dynamic adapted PSO and VNS for the vehicle routing problem with dynamic requests.
Appl. Soft Comput., 2012
Solving a dial-a-ride problem with a hybrid evolutionary multi-objective approach: Application to demand responsive transport.
Appl. Soft Comput., 2012
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012
2011
A software framework based on a conceptual unified model for evolutionary multiobjective optimization: ParadisEO-MOEO.
Eur. J. Oper. Res., 2011
Appl. Soft Comput., 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
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011
Proceedings of the Applications of Evolutionary Computation, 2011
NILS: A Neutrality-Based Iterated Local Search and Its Application to Flowshop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
Proceedings of the Advances in Multi-Objective Nature Inspired Computing, 2010
Proceedings of the Advances in Multi-Objective Nature Inspired Computing, 2010
J. Math. Model. Algorithms, 2010
J. Math. Model. Algorithms, 2010
Comput. Oper. Res., 2010
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 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
Proceedings of the Evolutionary Computation, 2010
Proceedings of the Evolutionary Computation, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
Multi-Swarm Optimization for Dynamic Combinatorial Problems: A Case Study on Dynamic Vehicle Routing Problem.
Proceedings of the Swarm Intelligence - 7th International Conference, 2010
Proceedings of the 8th ACS/IEEE International Conference on Computer Systems and Applications, 2010
Proceedings of the 8th ACS/IEEE International Conference on Computer Systems and Applications, 2010
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Sensitivity and specificity based multiobjective approach for feature selection: Application to cancer diagnosis.
Inf. Process. Lett., 2009
A Study on Dominance-Based Local Search Approaches for Multiobjective Combinatorial Optimization.
Proceedings of the Engineering Stochastic Local Search Algorithms. Designing, 2009
A unified model for evolutionary multi-objective optimization and its implementation in a general purpose software framework.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2009
2008
Rev. d'Intelligence Artif., 2008
On the Integration of a TSP Heuristic into an EA for the Bi-objective Ring Star Problem.
Proceedings of the Hybrid Metaheuristics, 5th International Workshop, 2008
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2008
Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008
Comparison of population based metaheuristics for feature selection: Application to microarray data classification.
Proceedings of the 6th ACS/IEEE International Conference on Computer Systems and Applications, 2008
2007
A comparison of PSO and GA approaches for gene selection and classification of microarray data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
A Multi-objective Approach to the Design of Conducting Polymer Composites for Electromagnetic Shielding.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007
Combinatorial Optimization of Stochastic Multi-objective Problems: An Application to the Flow-Shop Scheduling Problem.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Proceedings of the Hybrid Metaheuristics, Third International Workshop, 2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
A Preliminary Work on Evolutionary Identification of Protein Variants and New Proteins on Grids.
Proceedings of the 20th International Conference on Advanced Information Networking and Applications (AINA 2006), 2006
2005
Proceedings of the Handbook of Bioinspired Algorithms and Applications., 2005
Int. J. Found. Comput. Sci., 2005
Preliminary Investigation of the 'Learnable Evolution Model' for Faster/Better Multiobjective Water Systems Design.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005
2004
Proceedings of the 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), 2004
Hybridising Rule Induction and Multi-Objective Evolutionary Search for Optimising Water Distribution Systems.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 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
2003
Métaheuristiques pour l'extraction de connaissances: Application à la génomique. (Metaheuristics for knowledge discovery : Application to genetic data).
PhD thesis, 2003
Discovering Haplotypes in Linkage Disequilibrium Mapping with an Adaptive Genetic Algorithm.
Proceedings of the Applications of Evolutionary Computing, 2003
2002
ASGARD : un algorithme génétique pour les règles d'association. Application à la génomique.
Rev. d'Intelligence Artif., 2002
A data mining approach to discover genetic and environmental factors involved in multifactorial diseases.
Knowl. Based Syst., 2002