Smart Delivery Systems

Solving Complex Vehicle Routing Problems
Erscheinungsjahr 2019
ISBN: 978-0-12-815715-2
Verlag: Elsevier Science Publishing Co Inc

Buch, Englisch, 290 Seiten, Format (B × H): 230 mm x 153 mm, Gewicht: 470 g

Reihe: Intelligent Data-Centric Systems: Sensor Collected Intelligence

Smart Delivery Systems: Solving Complex Vehicle Routing Problems examines both exact and approximate methods for delivering optimal solutions to rich vehicle routing problems, showing both the advantages and disadvantages of each approach. It shows how to apply machine learning and advanced data analysis techniques to improve routing systems, familiarizing readers with the concepts and technologies used in successfully implemented delivery systems. The book explains both the latest theoretical and practical advances in intelligent delivery and scheduling systems and presents practical applications for designing new algorithms for real-life scenarios.

Zielgruppe

1) Transportation and Computer Science researchers, graduate students, and professors 2) Transportation Planners, software developers, Operational Research Engineers

Autoren/Hrsg.

Nalepa, Jakub

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Transport- und Verkehrswirtschaft
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management
• Mathematik | Informatik Mathematik Operations Research

Inhaltsverzeichnis

1. Complexity in Real-Life Transportation Problems

Part 1: Rich Vehicle Routing Problems: Challenges and Algorithms 2. Economic and Environmental Impacts 3. Serial and Parallel Algorithms 4. Metaheuristic Algorithms 5. Bio-Inspired Algorithms 6. Hybrid Algorithms 7. Heuristic Algorithms 8. Benchmarks

Part 2: Smart Delivery Systems: Challenges, Algorithms, and Applications 9. Machine Learning 10. Advanced Data Analysis 11. Parallelizing 12. Smart Delivery Systems Practical Applications

Über Autor(innen)

Nalepa, Jakub
Jakub Nalepa is an Assistant Professor in the Department of Automatic Control, Electronics and Computer Science at Silesian University of Technology. His interdisciplinary research encompasses academic and industry applications for vehicle routing optimization, machine learning, evolutionary algorithms, pattern recognition, and parallel computing.