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Modeling and Optimization in Green Logistics

  • Book
  • © 2020

Overview

  • Efficient route design and transportation are fundamental in green logistics

  • Heuristics and metaheuristics solutions are motivated by impact on the environment and human health

  • Valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics

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Table of contents (8 chapters)

Keywords

About this book

This book presents recent work that analyzes general issues of green logistics and smart cities. The contributed chapters consider operating models with important ecological, economic, and social objectives.

The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.

Editors and Affiliations

  • Department of Quantitative Methods and CS, University of Carthage, Nabeul, Tunisia

    Houda Derbel

  • Department of Business, Higher Colleges of Technology, Abu Dhabi, United Arab Emirates

    Bassem Jarboui

  • Laboratoire LiSSi (EA 3956), Université Paris-Est Créteil, Créteil, France

    Patrick Siarry

Bibliographic Information

  • Book Title: Modeling and Optimization in Green Logistics

  • Editors: Houda Derbel, Bassem Jarboui, Patrick Siarry

  • DOI: https://doi.org/10.1007/978-3-030-45308-4

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Hardcover ISBN: 978-3-030-45307-7Published: 02 December 2020

  • Softcover ISBN: 978-3-030-45310-7Published: 03 December 2021

  • eBook ISBN: 978-3-030-45308-4Published: 01 December 2020

  • Edition Number: 1

  • Number of Pages: XIV, 168

  • Number of Illustrations: 4 b/w illustrations, 32 illustrations in colour

  • Topics: Artificial Intelligence, Computational Intelligence, Operations Research/Decision Theory

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