Smart Delivery Systems: Solving Complex Vehicle Routing Problems

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Jakub Nalepa (Assistant Professor, Senior Research Scientist in Machine Learning, Evolutionary Computation, Deep Learning)

Smart Delivery Systems

Solving Complex Vehicle Routing Problems

Jakub Nalepa (Assistant Professor, Senior Research Scientist in Machine Learning, Evolutionary Computation, Deep Learning)

$214.95

Paperback

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English

Elsevier Science Publishing Co Inc
21 November 2019

Intelligent & automated transport system technology

Series: Intelligent Data-Centric Systems

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.

Edited by: Jakub Nalepa (Assistant Professor Senior Research Scientist in Machine Learning Evolutionary Computation Deep Learning)
Imprint: Elsevier Science Publishing Co Inc
Country of Publication: United States
Dimensions: Height: 229mm, Width: 151mm,
Weight: 590g
ISBN: 9780128157152
ISBN 10: 0128157151
Series: Intelligent Data-Centric Systems
Pages: 290
Publication Date: 21 November 2019
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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

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.

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Smart Delivery Systems

Solving Complex Vehicle Routing Problems

Jakub Nalepa (Assistant Professor, Senior Research Scientist in Machine Learning, Evolutionary Computation, Deep Learning)

$214.95

Paperback

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