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

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Enhancing Last-Mile Delivery: Social Media Insights and Deep Learning Applicationsc-related data (including weather conditions, significant locations, and event schedules) through social network analysis to refine traffic prediction accuracy, and (3) presenting a method applicable to partially observable traffic situations. The methodology integrates advanced deep learning techni

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Robust Optimisation for?an?Integrated Model of?Berth and?Quay Crane Assignment at?Maritime Containeroptimisation of sub-problems with a standard solver. The approach aims to find robust solutions that account for uncertainties in the number of available quay cranes at each time period based on some possible scenarios. We conduct extensive experiments using two alternative algorithms. One is a meth

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