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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Persistent link: https://EconPapers.repec.org/RePEc:spr:spopap:978-3-031-78262-6
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DOI: 10.1007/978-3-031-78262-6
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