Nadarajen Veerapen
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nadarajen-veerapen
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0000-0003-3699-1080
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180546384
- ResearcherID : J-5993-2015
Publications
Publications
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Inferring Future Landscapes: Sampling the Local Optima LevelEvolutionary Computation, 2020, 28 (4), pp.621-641. ⟨10.1162/evco_a_00271⟩ |
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Visualising the global structure of search landscapes: genetic improvement as a case studyGenetic Programming and Evolvable Machines, 2018, 19 (3), pp.317 - 349. ⟨10.1007/s10710-018-9328-1⟩ |
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Mapping the global structure of TSP fitness landscapesJournal of Heuristics, 2018, 24 (3), pp.265 - 294. ⟨10.1007/s10732-017-9334-0⟩ |
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An Integer Linear Programming approach to the single and bi-objective Next Release ProblemInformation and Software Technology, 2015, 65, pp.1 - 13. ⟨10.1016/j.infsof.2015.03.008⟩ |
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Adaptive Local Search for Real-World Multi-echelon Inventory Control28th European Conference on Applications of Evolutionary Computation, EvoApplications 2025, Apr 2025, Trieste, Italy. pp.370-384, ⟨10.1007/978-3-031-90062-4_23⟩ |
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MH-Builder: a C++ framework for designing adaptive metaheuristics for single and multi-objective optimization26ème édition du congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, ROADEF, Feb 2025, Champs-sur-Marne, France |
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Generalizing the Structure of a University Timetabling Solver for Flexible Automatic Algorithm Configuration2025 Genetic and Evolutionary Computation Conference (GECCO 2025), ACM SIGEVO, Jul 2025, Málaga, Spain. pp.555-558, ⟨10.1145/3712255.3726683⟩ |
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Multi-Echelon Inventory Planning for a One-Warehouse Multiple-Retailer Supply ChainThe 7th International Conference on Logistics Operations Management: Smart Sustainable and Green Logistics, May 2024, Marrakech, Morocco. pp.280-290, ⟨10.1007/978-3-031-68628-3_27⟩ |
Recherche locale pour un problème de réapprovisionnement multi-échelon avec approvisionnement multiple25ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2024), Société Française de Recherche Opérationnelle et d'Aide à la Décision, Mar 2024, Amiens, France |
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Channel Configuration for Neural Architecture: Insights from the Search SpaceGECCO ’23: Genetic and Evolutionary Computation Conference, ACM, Jul 2023, Lisbonne, Portugal. ⟨10.1145/3583131.3590386⟩ |
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Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility PredictionGECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation, Jul 2023, Lisbon Portugal, France. pp.203-206, ⟨10.1145/3583133.3590690⟩ |
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Randomness in Local Optima Network SamplingGECCO ’23 Companion: Genetic and Evolutionary Computation Conference Companion, ACM, Jul 2023, Lisbonne, Portugal. ⟨10.1145/3583133.3596309⟩ |
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When Simpler is Better: Automated Configuration of a University Timetabling SolverIEEE 2023 Congress on Evolutionary Computation, IEEE, Jul 2023, Chicago, United States. pp.01-08, ⟨10.1109/CEC53210.2023.10253986⟩ |
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Predicting Feasibility in University TimetablingROADEF 2023, Société Française de Recherche Opérationnelle et d'Aide à la Décision, Feb 2023, Rennes, France |
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Optimisation de l'approvisionnement d'une chaîne logistique multi-échelon dans un cas d'approvisionnement multiple24ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Société Française de Recherche Opérationnelle et d'Aide à la Décision, Feb 2023, Rennes, France |
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Exploiting landscape features for fitness prediction in university timetablingGECCO ’22 Companion: Companion Conference on Genetic and Evolutionary Computation, Jul 2022, Boston, MA, United States. pp.192-195, ⟨10.1145/3520304.3528910⟩ |
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Landscape-based Performance Prediction for University Timetabling Optimization23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France |
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Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling ProblemParallel Problem Solving from Nature – PPSN XVII, Sep 2022, Dortmund, Germany. pp.548-561, ⟨10.1007/978-3-031-14714-2_38⟩ |
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Neural Architecture Search: A Visual Analysis17th International Conference on Parallel Problem Solving from Nature (PPSN XVII), Sep 2022, Dortmund, Germany. pp.603-615, ⟨10.1007/978-3-031-14714-2_42⟩ |
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Investigating the landscape of a hybrid local search approach for a timetabling problemGECCO '21 Companion: Companion Conference on Genetic and Evolutionary Computation, ACM, Jul 2021, Lille, France. pp.1665-1673, ⟨10.1145/3449726.3463175⟩ |
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CLAHC - custom late acceptance hill climbing first results on TSPGECCO '21 Companion: Genetic and Evolutionary Computation Conference Companion, Jul 2021, Lille, France. pp.1970-1973, ⟨10.1145/3449726.3463129⟩ |
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Automatic Algorithm Multi-Configuration Applied to an Optimization Algorithm21st International Conference on Hybrid Intelligent Systems (HIS 2021), Dec 2021, online, United States. ⟨10.1007/978-3-030-96305-7_15⟩ |
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A hybrid CP/MOLS approach for multi-objective imbalanced classificationGECCO '21: Genetic and Evolutionary Computation Conference, Jul 2021, Lille, France. pp.723-731, ⟨10.1145/3449639.3459310⟩ |
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An Approximate Method for Integrated Stochastic Replenishment Planning with Supplier SelectionInternational Conference on Operations Research and Enterprise Systems - ICORES 2020, Feb 2020, Valletta, Malta |
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Time-Dependent Automatic Parameter Configuration of a Local Search AlgorithmGECCO '20 Companion: Companion Conference on Genetic and Evolutionary Computation, ACM, Jul 2020, Cancún, Mexico. ⟨10.1145/3377929.3398107⟩ |
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Automatic Configuration of Multi-Thread Local Search: Preliminary Results on Bi-objective TSP2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), IEEE, Nov 2020, Baltimore, United States. ⟨10.1109/ICTAI50040.2020.00187⟩ |
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Automatic Configuration of a Dynamic Hill Climbing AlgorithmSLS - International Workshop on Stochastic Local Search Algorithms, Sep 2019, Villeneuve d'Ascq, France |
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Rigorous Performance Analysis of State-of-the-Art TSP Heuristic SolversEuropean Conference on Evolutionary Computation in Combinatorial Optimization, Apr 2019, Leipzig, Germany. pp.99-114, ⟨10.1007/978-3-030-16711-0_7⟩ |
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Stochastic Joint Replenishment Planning Optimization with an Iterated Local SearchSLS - International Workshop on Stochastic Local Search Algorithms, Sep 2019, Villeneuve d Ascq, France |
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A Hybrid Metaheuristic Approach to a Real World Employee Scheduling ProblemGECCO'19 (2019 Genetic and Evolutionary Computation Conference), ACM, Jul 2019, Prague, Czech Republic. ⟨10.1145/3321707.3321769⟩ |
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On the Fractal Nature of Local Optima NetworksEvoCOP 2018 - The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation, Apr 2018, Parma, Italy. pp.18-33, ⟨10.1007/978-3-319-77449-7_2⟩ |
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Multifractality and Dimensional Determinism in Local Optima NetworksGenetic and Evolutionary Computation Conference, Jul 2018, Kyoto, Japan. ⟨10.1145/3205455.3205472⟩ |
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Shift Scheduling and Employee Rostering: An Evolutionary Ruin & Stochastic Recreate Solution2018 10th Computer Science and Electronic Engineering (CEEC), IEEE, Sep 2018, Colchester, United Kingdom. pp.19-23, ⟨10.1109/CEEC.2018.8674200⟩ |
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Modelling genetic improvement landscapes with local optima networksGECCO '17, Jul 2017, Berlin, Germany. pp.1543 - 1548, ⟨10.1145/3067695.3082518⟩ |
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The effect of landscape funnels in QAPLIB instancesGECCO '17, Jul 2017, Berlin, Germany. pp.1495-1500, ⟨10.1145/3067695.3082512⟩ |
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Local Optima Networks of the Permutation Flowshop Scheduling Problem: Makespan vs. total flow time2017 IEEE Congress on Evolutionary Computation (CEC), IEEE, Jun 2017, Donostia, Spain. pp.1964-1971, ⟨10.1109/cec.2017.7969541⟩ |
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Additional Dimensions to the Study of Funnels in Combinatorial LandscapesGECCO '16, Jul 2016, Denver, United States. pp.373 - 380, ⟨10.1145/2908812.2908820⟩ |
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Embedded Dynamic ImprovementGECCO '15 Companion: Companion Conference on Genetic and Evolutionary Computation, Jul 2015, Madrid, Spain. pp.831 - 832, ⟨10.1145/2739482.2768423⟩ |
Using Local Search with adaptive operator selection to solve the Progressive Party Problem2013 IEEE Congress on Evolutionary Computation (CEC), 2013, Cancun, Mexico, France. pp.554 - 561, ⟨10.1109/CEC.2013.6557617⟩ |
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Sélection adaptative d'opérateurs en recherche locale et Progressive Party ProblemActes des Neuvièmes Journées Francophones de Programmation par Contraintes, 2013, Aix-en-Provence, France |
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Sélection adaptative d'opérateurs pour la recherche locale basée sur un compromis exploration-exploitationJFPC - Huitièmes Journées Francophones de Programmation par Contraintes - 2012, May 2012, Toulouse, France. pp.318-327 |
A Comparison of Operator Utility Measures for On-Line Operator Selection in Local Search6th International Conference, LION 6, 2012, Paris, France. pp.497 - 502, ⟨10.1007/978-3-642-34413-8_51⟩ |
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An Exploration-exploitation Compromise-based Adaptive Operator Selection for Local SearchGECCO '12, 2012, Philadelphie, United States. pp.1277 - 1284, ⟨10.1145/2330163.2330340⟩ |
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Pareto Autonomous Local Search5th International Conference, LION 5, 2011, Rome, Italy. pp.392 - 406, ⟨10.1007/978-3-642-25566-3_29⟩ |
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Sélection autonome d’opérateurs par dominance pour la recherche localeActes des Septièmes Journées Francophones de Programmation par Contraintes, 2011, Lyon, France |
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Hyperheuristic as Component of a Multi-Objective MetaheuristicSLS-DS 2009 : Doctoral Symposium on Engineering Stochastic Local Search Algorithms, Aug 2009, Bruxelles, Belgium |
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Contrôle autonome d'opérateurs pour la recherche localeModélisation et simulation. Université d'Angers, 2012. Français. ⟨NNT : ⟩ |
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Special Cluster on Stochastic Local Search: Recent Developments and TrendsInternational Transactions in Operational Research, 29 (5), pp.2731-3232, 2022, ⟨10.1111/itor.13107⟩ |