A METAHEURISTIC FOR A TIME-DEPENDENT VEHICLE ROUTING PROBLEM WITH TIME WINDOWS, TWO VEHICLE FLEETS AND SYNCHRONIZATION ON A ROAD NETWORK

A metaheuristic for a time-dependent vehicle routing problem with time windows, two vehicle fleets and synchronization on a road network

In this work, we extend the time-dependent vehicle routing problem with time windows on a road network by considering two types of vehicles, large and small, to serve customers.Motivated from city logistics applications, large vehicles are forbidden from the downtown area.Accordingly, goods must be transferred from large to small Streaming vehicles

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Energy Management Strategy Based on Reinforcement Learning and Frequency Decoupling for Fuel Cell Hybrid Powertrain

This Health Supplies study presents a Two-Layer Deep Deterministic Policy Gradient (TL-DDPG) energy management strategy for Hydrogen fuel cell hybrid train, that aims to solve the problem that traditional reinforcement learning strategies require high initial values and are difficult to optimize global variables.Augmenting the optimization capabili

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