Rym Nesrine GUIBADJ

MCF

Domaine de recherche

Optimisation combinatoire, recherche opérationnelle, problèmes de tournées de véhicules, modélisation, méthodes exactes, métaheuristiques.

Rym Nesrine GUIBADJ

Reinforcement learning based heuristic to solve selective routing problem

Salma Errachidi, Rym Nesrine Guibadj, Omar Rifki. Reinforcement learning based heuristic to solve selective routing problem. Séminaire Intelligence Artificielle et Optimisation de l'A2U, Jun 2024, Calais, France. ⟨hal-04763621⟩

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An hybrid approach based on Graph Attention Network for the Team Orienteering Problem.

Iván Peña-Arenas, Rym Nesrine Guibadj, Cyril Fonlupt. An hybrid approach based on Graph Attention Network for the Team Orienteering Problem.. OLA 2024 International Conference on Optimization and Learning, Rochester Institute of Technology - RIT, May 2024, Dubrovnik, Croatia. ⟨hal-04510551⟩

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A deep learning approach for the Team Orienteering Problem.

Iván Peña-Arenas, Rym Guibadj, Cyril Fonlupt. A deep learning approach for the Team Orienteering Problem.. ROADEF-2024 -25éme congrès de la Societé Française de Recherche Opérationnelle et d'Aide à la Décision., ROADEF, Mar 2024, Amiens (Université Picardie Jules Verne), France. ⟨hal-04745822⟩

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Deep reinforcement learning for combinatorial optimization: case study orienteering problems

Iván Guillermo Peña Arenas, Rym Nesrine Guibadj, Cyril Fonlupt. Deep reinforcement learning for combinatorial optimization: case study orienteering problems. Laboratoire d'Informatique Signal et Image de la Côte d'Opale; Université du Littoral Côte d'Opale - ULCO. 2023. ⟨hal-04128866v2⟩

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Combining Optimization and Machine Learning for Orienteering Problems : Reference Data conception

Mohammed Bati, Rym Nesrine Guibadj, Omar Rifki. Combining Optimization and Machine Learning for Orienteering Problems : Reference Data conception. Séminaire Intelligence Artificielle et Optimisation de l'A2U, Jun 2023, Montreuil sur Mer, France. ⟨hal-04763624⟩

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Fairer Comparisons for Travelling Salesman Problem Solutions Using Hash Functions

Mehdi El Krari, Rym Nesrine Guibadj, John Woodward, Denis Robilliard. Fairer Comparisons for Travelling Salesman Problem Solutions Using Hash Functions. The 23rd European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 23), Apr 2023, Brno, Czech Republic. pp.1-15, ⟨10.1007/978-3-031-30035-6_1⟩. ⟨hal-04356379⟩

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Multi-Objective Model and Variable Neighborhood Search Algorithms for the Joint Maintenance Scheduling and Workforce Routing Problem

Lamiaa Dahite, Abdeslam Kadrani, Rachid Benmansour, Rym Nesrine Guibadj, Cyrille Fonlupt. Multi-Objective Model and Variable Neighborhood Search Algorithms for the Joint Maintenance Scheduling and Workforce Routing Problem. Mathematics , 2022, 10 (11), pp.1807. ⟨10.3390/math10111807⟩. ⟨hal-03699995⟩

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Using decomposition-based multi-objective algorithm to solve selective pickup and delivery problems with time windows

Asma Ben-Said, Aziz Moukrim, Rym Nesrine Guibadj, Jérôme Verny. Using decomposition-based multi-objective algorithm to solve selective pickup and delivery problems with time windows. Computers and Operations Research, 2022, pp.105867. ⟨10.1016/j.cor.2022.105867⟩. ⟨hal-03671689⟩

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Introducing a hash function for the travelling salesman problem for differentiating solutions

Mehdi El Krari, Rym Nesrine Guibadj, John Woodward, Denis Robilliard. Introducing a hash function for the travelling salesman problem for differentiating solutions. GECCO '21: Genetic and Evolutionary Computation Conference, Jul 2021, Lille France, France. pp.123-124, ⟨10.1145/3449726.3459580⟩. ⟨hal-03436377⟩

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A Semi Adaptive Large Neighborhood Search for the Maintenance Scheduling and Routing Problem

Lamiaa Dahite, Rym Nesrine Guibadj, Cyril Fonlupt, Abdeslam Kadrani, Rachid Benmansour. A Semi Adaptive Large Neighborhood Search for the Maintenance Scheduling and Routing Problem. 7th International Conference on Optimization and Applications (ICOA), May 2021, Wolfenbüttel, Germany. pp.1-6, ⟨10.1109/ICOA51614.2021.9442627⟩. ⟨hal-03434584⟩

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Effective neighborhood search with optimal splitting and adaptive memory for the team orienteering problem with time windows

Youcef Amarouche, Rym Nesrine Guibadj, Elhadja Chaalal, Aziz Moukrim. Effective neighborhood search with optimal splitting and adaptive memory for the team orienteering problem with time windows. Computers and Operations Research, 2020, 123, pp.105039. ⟨10.1016/j.cor.2020.105039⟩. ⟨hal-02890475v1⟩

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A PSO based algorithm with an efficient optimal split procedure for the multiperiod vehicle routing problem with profit

Racha El-Hajj, Rym Nesrine Guibadj, Aziz Moukrim, Mehdi Serairi. A PSO based algorithm with an efficient optimal split procedure for the multiperiod vehicle routing problem with profit. Annals of Operations Research, 2020, 291 (1-2), pp.281-316. ⟨10.1007/s10479-020-03540-9⟩. ⟨hal-02495002⟩

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Optimization of Maintenance Planning and Routing Problems

Lamiaa Dahite, Abdeslam Kadrani, Rachid Benmansour, Rym Nesrine Guibadj, Cyril Fonlupt. Optimization of Maintenance Planning and Routing Problems. Benmansour, Rachid; Sifaleras, Angelo; Mladenovic, Nenad. Variable Neighborhood Search : 7th International Conference, ICVNS 2019, Rabat, Morocco, October 3-5, 2019, Revised Selected Papers, 12010, Springer, pp.95-111, 2020, Lecture Notes in Computer Science, 9783030449315. ⟨10.1007/978-3-030-44932-2_7⟩. ⟨hal-03105233⟩

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Méthode exacte pour la résolution du problème de tournées de véhicules avec profits et sélection d'hôtels

Youcef Amarouche, Rym Nesrine Guibadj, Aziz Moukrim. Méthode exacte pour la résolution du problème de tournées de véhicules avec profits et sélection d'hôtels. 21e congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2020), Feb 2020, Montpellier, France. ⟨hal-03621725⟩

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An Adaptive Large Neighborhood Search for the Maintenance Scheduling and Routing Problem

Lamiaa Dahite, Abdeslam Kadrani, Rachid Benmansour, Rym Nesrine Guibadj, Cyril Fonlupt. An Adaptive Large Neighborhood Search for the Maintenance Scheduling and Routing Problem. 21ème congrès annuel de la société Françise de Recherche opérationnelle et d'Aide à la Décision (ROADEF2020), Laboratoire LIRMM, Université de Montpellier, Feb 2020, Montpellier, France. ⟨hal-03106165⟩

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Optimization of Maintenance Planning and Routing Problems

Lamiaa Dahite, Abdeslam Kadrani, Rachid Benmansour, Rym Nesrine Guibadj, Cyril Fonlupt. Optimization of Maintenance Planning and Routing Problems. ICVNS 2019 - 7th International Conference on Variable Neighborhood Search, Oct 2019, Rabat, Morocco. ⟨10.1007/978-3-030-44932-2_7⟩. ⟨hal-03573450⟩

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A Set Cover based heuristic for the Two-Echelon Vehicle Routing Problem

Youcef Amarouche, Rym Nesrine Guibadj, Aziz Moukrim. A Set Cover based heuristic for the Two-Echelon Vehicle Routing Problem. International Conference on Operations Research (OR 2018), Sep 2018, Brussels, Belgium. ⟨hal-02005211⟩

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A Neighborhood Search and Set Cover Hybrid Heuristic for the Two-Echelon Vehicle Routing Problem

Youcef Amarouche, Rym Nesrine Guibadj, Aziz Moukrim. A Neighborhood Search and Set Cover Hybrid Heuristic for the Two-Echelon Vehicle Routing Problem. 18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, (ATMOS 2018), Aug 2018, Helsinki, Finland. pp.11:1--11:15, ⟨10.4230/OASIcs.ATMOS.2018.11⟩. ⟨hal-02005206⟩

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Méthode de résolution en deux phases pour le problème de tournées de véhicules à deux-échelons

Youcef Amarouche, Rym Nesrine Guibadj, Aziz Moukrim. Méthode de résolution en deux phases pour le problème de tournées de véhicules à deux-échelons. 18e congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2017), Université de Lorraine, Feb 2017, Metz, France. ⟨hal-01682422⟩

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New Lower Bounds on the Number of Vehicles for the Vehicle Routing Problem with Time Windows

Sohaib Afifi, Rym Nesrine Guibadj, Aziz Moukrim. New Lower Bounds on the Number of Vehicles for the Vehicle Routing Problem with Time Windows. Integration of AI and OR Techniques in Constraint Programming - 11th International Conference, CPAIOR 2014, May 2014, Cork, Ireland. pp.422-437, ⟨10.1007/978-3-319-07046-9_30⟩. ⟨hal-00992081⟩

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Memetic algorithm with an effi cient split procedure for the Team Orienteering Problem with Time Windows

Rym Nesrine Guibadj, Aziz Moukrim. Memetic algorithm with an effi cient split procedure for the Team Orienteering Problem with Time Windows. Artificial Evolution 2013, Oct 2013, france, France. pp.6-17. ⟨hal-00917431⟩

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Problèmes de tournées de véhicules et application industrielle pour la réduction de l'empreinte écologique

Rym Nesrine Guibadj. Problèmes de tournées de véhicules et application industrielle pour la réduction de l'empreinte écologique. Autre [cs.OH]. Université de Technologie de Compiègne, 2013. Français. ⟨NNT : 2013COMP2074⟩. ⟨tel-00966428⟩

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An effective PSO-inspired algorithm for the team orienteering problem

Duc-Cuong Dang, Rym Nesrine Guibadj, Aziz Moukrim. An effective PSO-inspired algorithm for the team orienteering problem. European Journal of Operational Research, 2013, 229 (2), pp.332 - 344. ⟨10.1016/j.ejor.2013.02.049⟩. ⟨hal-00934974⟩

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A PSO-based memetic algorithm for the team orienteering problem

Duc-Cuong Dang, Rym Nesrine Guibadj, Aziz Moukrim. A PSO-based memetic algorithm for the team orienteering problem. EvoApplications 2011, Apr 2011, Turin, Italy. pp.471-480. ⟨hal-00575903⟩

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Optimisation par essaim particulaire pour résoudre le problème de m-tournées sélectives

Rym Nesrine Guibadj, Duc-Cuong Dang, Aziz Moukrim. Optimisation par essaim particulaire pour résoudre le problème de m-tournées sélectives. ROADEF 2011, Mar 2011, Saint-Etienne, France. ⟨hal-00576532⟩

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