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Elsevier

Smart Delivery Systems

Solving Complex Vehicle Routing Problems

  • 1 Edición - 15 de noviembre de 2019
  • Última edición
  • Editor: Jakub Nalepa
  • Idioma: Inglés

Smart Delivery Systems: Solving Complex Vehicle Routing Problems examines both exact and approximate methods for delivering optimal solutions to rich vehicle routing problems,… Leer más

Descripción

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.

Puntos claves

  • 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

De interès para

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

Índice

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

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 15 de noviembre de 2019
  • Idioma: Inglés

Sobre el editor

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.
Afiliaciones y experiencia
Assistant Professor, Senior Research Scientist in Machine Learning, Evolutionary Computation, Deep Learning

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