Name: Handbook of Artificial Intelligence and Data Sciences for Routing Problems (Springer Optimization and its Applications, 219) (en Inglés)
SKU: 64002216
Price: 177.97 USD
Availability: InStock
Author: Oliveira Carlos A. S.,Pardalos Miltiades P.

portada Handbook of Artificial Intelligence and Data Sciences for Routing Problems (Springer Optimization and its Applications, 219) (en Inglés)

Handbook of Artificial Intelligence and Data Sciences for Routing Problems (Springer Optimization and its Applications, 219) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Oliveira Carlos A. S.,Pardalos Miltiades P.

Idioma

Inglés

Encuadernación

Tapa Dura

ISBN13

9783031782619

Handbook of Artificial Intelligence and Data Sciences for Routing Problems (Springer Optimization and its Applications, 219) (en Inglés)

Oliveira Carlos A. S.,Pardalos Miltiades P. (Autor) · Springer · Tapa Dura

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Reseña del libro "Handbook of Artificial Intelligence and Data Sciences for Routing Problems (Springer Optimization and its Applications, 219) (en Inglés)"

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.