Handbook of Artificial Intelligence and Data Sciences for Routing Problems (Springer Optimization and Its Applications #219)

By: Carlos A. S. Oliveira and Miltiades P. Pardalos

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Synopsis: This handbook delves into the rapidly evolving field of artificial intelligence and optimization, focusing on the intersection of machine learning, combinatorial optimization, and real-world applications in transportation and network design. Covering an array of topics from classical optimization problems such as the Traveling Salesman Problem and the Knapsack Problem, to modern techniques including advanced heuristic methods, Generative Adversarial Networks, and Variational Autoencoders, this book provides a roadmap for solving complex problems. The included case studies showcase practical implementations of algorithms in predicting route sequences, traffic management, and eco-friendly transportation. This comprehensive guide is essential for researchers, practitioners, and students interested in AI and optimization. Whether you are a researcher seeking standard approaches or a professional looking for practical solutions to industry challenges, this book offers valuable insights into modern AI algorithms.

Book Quality:: Publisher Quality
ISBN-13:: 9783031782626
Related ISBNs:: 9783031782619
Publisher:: Springer Nature Switzerland
Date of Addition:: 04/14/25
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Technology, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Carlos A.S. Oliveira
Edited by:: Miltiades P. Pardalos