Titlebook: Computational Logistics; 15th International C Alexander Garrido,Carlos D. Paternina-Arboleda,Ste Conference proceedings 2024 The Editor(s)

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https://doi.org/10.1007/978-3-642-70522-9examining both opportunities and challenges. Job displacement, skill development, and effective human-machine collaboration are key areas of concern..AI technologies like machine learning and robotics revolutionize logistics by enabling smarter routes, predictive maintenance, and automated warehouse

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Aktuelle gastroenterologische Diagnostikniques has catalyzed the development of innovative approaches that redefine industry standards. Particularly, transportation dispatching – a critical aspect of logistics – has seen significant advancements through the application of Reinforcement Learning (RL), achieving notable enhancements in oper

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Aktueller Stand der klinischen Anaesthesiee methodology employed in this approach and solution utilizes mathematical modeling. The model encompasses various systems within a city, including land use, public space, population, housing, economic sectors, facilities, employment, and transportation, emphasizing their interrelationships. The pri

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https://doi.org/10.1007/978-3-642-71229-6 sequence of visits to multiple points of interest for a tourist, addressing this as a Tourist Trip Design Problem. Our model considers user preferences as variables to be optimized or as constraints, which may include time, walking distances, and economic costs. To facilitate movement between diffe

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