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AV-OLRA : Une modélisation générique pour le problème de l'allocation des ressources dans le domaine du transport à la demande.

, , , and . Revue Ouverte d'Intelligence Artificielle (ROIA), 4 (2): 169-192 (2023)

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AV-OLRA : Une modélisation générique pour le problème de l'allocation des ressources dans le domaine du transport à la demande., , , and . Revue Ouverte d'Intelligence Artificielle (ROIA), 4 (2): 169-192 (2023)Semantic Web Environments for Multi-Agent Systems: Enabling agents to use Web of Things via semantic web.. CoRR, (2020)Communication-wise Comparison of the Online Resource Allocation Methods in CAV Fleets., , , , and . ANT/EDI40, volume 220 of Procedia Computer Science, page 299-306. Elsevier, (2023)Decentralized Insertion Heuristic with Runtime Optimization for On-demand Transport Scheduling., , , and . ATT@ECAI, volume 2701 of CEUR Workshop Proceedings, page 9-15. CEUR-WS.org, (2020)ORNInA: A decentralized, auction-based multi-agent coordination in ODT systems., , , and . AI Commun., 34 (1): 37-53 (2021)Un modèle agent générique pour la comparaison d'approches d'allocation de ressources dans le domaine du transport à la demande., , , and . JFSMA, page 127-136. Cépaduès, (2021)Coordination in Connected Autonomous Vehicle fleets: A Multiagent Resource Allocation Approach to Online On-Demand Transport. (Coordination de flottes de véhicules autonomes connectés: Approche décentralisée d'allocation de ressources pour le transport à la demande).. University of Lyon, France, (2022)A Generic Multi-Agent Model for Resource Allocation Strategies in Online On-Demand Transport with Autonomous Vehicles., , , and . AAMAS, page 1489-1491. ACM, (2021)Agent-based simulation of unmanned aerial vehicles in civilian applications: A systematic literature review and research directions., , , , , , and . Future Gener. Comput. Syst., (2019)Towards Explainable Recommendations of Resource Allocation Mechanisms in On-Demand Transport Fleets., , , , , and . EXTRAAMAS@AAMAS, volume 12688 of Lecture Notes in Computer Science, page 97-115. Springer, (2021)