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Handbook of Artificial Intelligence and Data Sciences for Routing Problems

Edited by Carlos A.S. Oliveira () and Miltiades P. Pardalos ()

in Springer Optimization and Its Applications from Springer, currently edited by Pardalos, Panos, Thai, My T. and Du, Ding-Zhu

Date: 2025
ISBN: 978-3-031-78262-6
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Chapters in this book:

Ch Chapter 1 Route Sequence Prediction Through Inverse Reinforcement Learning and Bayesian Optimization
Anselmo R. Pitombeira-Neto
Ch Chapter 10 GRASP for Assignment Problem in Telecommunications
Carlos A. S. Oliveira
Ch Chapter 11 Waste Collection: Sectoring, Routing, and Scheduling for Challenging Services
Marcos Negreiros, Nelson Maculan, Claudio B. Cunha, Francisco Henrique Viana and Flávio Luis Mello
Ch Chapter 2 A Comparative Evaluation of Monolithic and Microservice Architectures for Load Profiling Services in Smart Grids
Artur F. S. Veloso, José V. R. Júnior, Matheus M. do N. Costa, Ricardo A. L. Rabelo and Placido R. Pinheiro
Ch Chapter 3 Heuristics for the Problem of Consolidating Orders into Vehicle Shipments with Compatible Categories and Freight Based on the Direct Distances to the Farthest Customers
Renan Sallai Iwayama and Claudio B. Cunha
Ch Chapter 4 Mathematical Models and Algorithms for Large-Scale Transportation Problems
Carlos A. S. Oliveira
Ch Chapter 5 Optimization Methods for Multicast Routing Problems
Carlos A. S. Oliveira
Ch Chapter 6 An Introduction to AI and Routing Problems in Mobile Telephony
Carlos A. S. Oliveira
Ch Chapter 7 AI Techniques for Combinatorial Optimization
Carlos A. S. Oliveira
Ch Chapter 8 Telecommunication Networks and Frequency Assignment Problems
Carlos A. S. Oliveira
Ch Chapter 9 The Metaheuristic Strategy for AI Search and Optimization
Carlos A. S. Oliveira

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DOI: 10.1007/978-3-031-78262-6

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