Handbook of Artificial Intelligence and Data Sciences for Routing Problems
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 pr...
সংরক্ষণ করুন:
| সংস্থা লেখক: | |
|---|---|
| অন্যান্য লেখক: | , |
| বিন্যাস: | বৈদ্যুতিক বৈদ্যুতিন গ্রন্থ |
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| সংস্করন: | 1st ed. 2025. |
| মালা: | Springer Optimization and Its Applications,
219 |
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | https://doi.org/10.1007/978-3-031-78262-6 |
| ট্যাগগুলো: |
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সূচিপত্রের সারণি:
- 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.