LIMITED OFFER
Save 50% on book bundles
Immediately download your ebook while waiting for your print delivery. No promo code needed.
Smart Delivery Systems
Solving Complex Vehicle Routing Problems
- 1st Edition - November 15, 2019
- Editor: Jakub Nalepa
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 5 7 1 5 - 2
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 5 7 1 6 - 9
Smart Delivery Systems: Solving Complex Vehicle Routing Problems examines both exact and approximate methods for delivering optimal solutions to rich vehicle routing problems,… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteSmart 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.
- Emphasizes both sequential and parallel algorithms
- Uniquely combines methods and algorithms, real-life applications, and parallel computing
- Includes recommendations on how to choose between different methods for solving applications
- Provides learning aids, end of chapter references, bibliography, worked examples and exercises
1) Transportation and Computer Science researchers, graduate students, and professors 2) Transportation Planners, software developers, Operational Research Engineers
- No. of pages: 290
- Language: English
- Edition: 1
- Published: November 15, 2019
- Imprint: Elsevier
- Paperback ISBN: 9780128157152
- eBook ISBN: 9780128157169
JN
Jakub Nalepa
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.
Affiliations and expertise
Assistant Professor, Senior Research Scientist in Machine Learning, Evolutionary Computation, Deep LearningRead Smart Delivery Systems on ScienceDirect