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Author

Mustapha Hemis

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Aug 2026

TAWJEEH: An Integrated Deep Reinforcement Learning and Heuristic Framework for Cellular Vehicle-to-Everything Enabled Real-Time Multidepot Vehicle Routing Optimization in Urban Logistics

TAWJEEH is introduced, a novel hybrid framework that integrates deep reinforcement learning, classical heuristics, and cellular vehicle-to-everything communications for time-dependent MDCVRP optimization and proves to be a robust, scalable, and computationally efficient solution.

Yacine Harkat, Mustapha Hemis, El-sedik Lamini et al. · 0 citations

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