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Deep Learning for TDVRPTW Solutions by rajaba is a document available to read on EtoBox.

What is Deep Learning for TDVRPTW Solutions about?

This thesis explores the prediction of travel time using deep learning algorithms to address the Time Dependent Vehicle Routing Problem with Time Windows (TDVRPTW). It combines deep learning techniques, such as CNNs and LSTMs, for accurate travel time estimation with metaheuristic approaches like genetic algorithms to optimize vehicle routing. The proposed model demonstrates significant improvements in travel time prediction accuracy and offers a comprehensive solution for dynamic transportation systems.

Author

rajaba

Language

EN