Handbook of Artificial Intelligence and Data Sciences for Routing Problems

Chapter 1. Route Sequence Prediction through Inverse Reinforcement Learning and Bayesian Optimization.- Chapter 2. A Comparative Evaluation of Monolithic and Microservices Architectures for Load Profiling Services in Smart Grids.- 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.- Chapter 4. Mathematical Models and Algorithms for Large-Scale Transportation Problems.- Chapter 5. Optimization Methods for Multicast Routing Problems.- Chapter 6. An Introduction to AI and Routing Problems in Mobile Telephony.- Chapter 7. AI Techniques for Combinatorial Optimization.- Chapter 8. Telecommunication Networks and Frequency Assignment Problems.- Chapter 9. The Metaheuristic Strategy for AI Search and Optimization.- Chapter 10. GRASP for Assignment Problem in Telecomunications.- Chapter 11. Waste Collection: Sectoring, Routing and Scheduling for Challenging Services.

• Erscheinungsdatum: 13.03.2025
• Autor/Autorin: Carlos A.S. Oliveira
• Reihe: Mathematics and Statistics (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 12.1 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 400 Seiten
• ISBN: 9783031782626
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.