Omar Rifki

MCF

ORCID : 0000-0002-6074-9131

Domaine de recherche

To be completed

Omar Rifki

Solving the collaborative vehicle routing problem via multi-agent deep reinforcement learning

Ibrahim El Baraghi, Omar Rifki, Hamid Allaoui. Solving the collaborative vehicle routing problem via multi-agent deep reinforcement learning. Séminaire Intelligence Artificielle et Optimisation de l'A2U, Jun 2024, Calais, France. ⟨hal-04763620⟩

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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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Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances

Sébastien Verel, Sarah Thomson, Omar Rifki. Where the Really Hard Quadratic Assignment Problems Are: the QAP-SAT instances. 24th European Conference on Evolutionary Computation in Combinatorial Optimisation (evoCOP), Apr 2024, Aberystwyth, United Kingdom. pp.129-145. ⟨hal-04489201⟩

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An aided decision framework based on optimisation and game theory for a green and shared vehicle routing problem

Omar Rifki, Nicolas Danloup, Yuhan Guo, Hamid Allaoui. An aided decision framework based on optimisation and game theory for a green and shared vehicle routing problem. 22nd World Congress of the International Federation of Automatic Control ( IFAC Congress 2023 ), Jul 2023, Yokohama, Japan. ⟨hal-04161759⟩

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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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Online Large-Scale Taxi Assignment: Optimization and Learning

Omar Rifki, Thierry Garaix. Online Large-Scale Taxi Assignment: Optimization and Learning. Findings, 2023, ⟨10.32866/001c.74765⟩. ⟨hal-04116309⟩

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Étude de la satisfiabilité du problème du voyageur de commerce avec fenêtres de temps

Omar Rifki, Thierry Garaix, Christine Solnon. Étude de la satisfiabilité du problème du voyageur de commerce avec fenêtres de temps. 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France. ⟨hal-03595284⟩

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An asymptotic approximation of the traveling salesman problem with uniform non-overlapping time windows

Omar Rifki, Thierry Garaix, Christine Solnon. An asymptotic approximation of the traveling salesman problem with uniform non-overlapping time windows. CASE 2021 - IEEE 17th International Conference on Automation Science and Engineering, Aug 2021, Lyon, France. pp.1-6, ⟨10.1109/CASE49439.2021.9551615⟩. ⟨hal-03270043⟩

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Optimal freight loading zones: a graph-theoretic approach

Clélia Lopez, Omar Rifki, Nicolas Chiabaut. Optimal freight loading zones: a graph-theoretic approach. 9th Symposium of the European Association for Research in Transportation (hEART 2020), Feb 2021, Lyon, France. ⟨hal-03060369⟩

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Design of an Autonomous Ride-sharing Service through a Graph Embedding Integrated Dial-a-ride Problem: Application to the Last-mile Transit in Lyon City

Omar Rifki, Nicolas Chiabaut, Jean-Pierre Nicolas. Design of an Autonomous Ride-sharing Service through a Graph Embedding Integrated Dial-a-ride Problem: Application to the Last-mile Transit in Lyon City. Transportation Research Board (TRB) Annual Meeting 2021, Jan 2021, Virtual conference, United States. ⟨hal-04116307⟩

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On the impact of spatio-temporal granularity of traffic conditions on the quality of pickup and delivery optimal tours

Omar Rifki, Nicolas Chiabaut, Christine Solnon. On the impact of spatio-temporal granularity of traffic conditions on the quality of pickup and delivery optimal tours. Transportation Research Part E: Logistics and Transportation Review, 2020, 142, pp.102085. ⟨10.1016/j.tre.2020.102085⟩. ⟨hal-02934134⟩

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Impact de la granularité spatio-temporelle des données sur l'optimisation des tournées de livraison en ville

Omar Rifki, Nicolas Chiabaut, Christine Solnon. Impact de la granularité spatio-temporelle des données sur l'optimisation des tournées de livraison en ville. Journées Francophones de Programmation par Contraintes, JFPC, Jun 2019, Albi, France. 11 p. ⟨hal-02147865⟩

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On spatio-temporal granularity of optimal delivery tours

Omar Rifki, Nicolas Chiabaut, Christine Solnon. On spatio-temporal granularity of optimal delivery tours. 8th Symposium of the European Association for Research in Transportation (hEART 2019), 2019, Budapest, Hungary. ⟨hal-02147815⟩

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