Abstract: This paper proposes a weight-aware deep reinforcement learning (WADRL) approach designed to address the multiobjective vehicle routing problem with time windows (MOVRPTW), aiming to use a ...
MRMH: Multi-Constraint Routing Optimization Using Hybrid Metaheuristics in Vehicular Ad-Hoc Networks
Abstract: Advancements in Vehicular Ad-Hoc Networks (VANETs) are crucial for the next generation of intelligent transportation systems. Addressing the complexities of routing and clustering in these ...
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