Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management

  • Editors
  • Andreas Fink
  • Franz Rothlauf

Part of the Studies in Computational Intelligence book series (SCI, volume 144)

Table of contents

  1. Front Matter
  2. Traffic and Transport Networks

    1. Front Matter
      Pages 1-1
    2. Theodore Tsekeris, Loukas Dimitriou, Antony Stathopoulos
      Pages 3-21
    3. Loukas Dimitriou, Theodore Tsekeris, Antony Stathopoulos
      Pages 23-43
    4. Khaled Almejalli, Keshav Dahal, M. Alamgir Hossain
      Pages 63-80
    5. Tobias Grosche, Franz Rothlauf
      Pages 81-108
  3. Vehicle Routing

    1. Front Matter
      Pages 109-109
    2. Nacima Labadi, Christian Prins, Mohamed Reghioui
      Pages 111-135
    3. Vicente Campos, Angel Corberán, Enrique Mota
      Pages 137-152
    4. Karl F. Doerner, Walter J. Gutjahr, Richard F. Hartl, Guglielmo Lulli
      Pages 153-168
  4. Supply Chain Management

    1. Front Matter
      Pages 209-209
    2. Lionel Amodeo, Haoxun Chen, Aboubacar El Hadji
      Pages 211-230
  5. Back Matter

About this book

Introduction

The book at hand presents a careful selection of relevant applications of CI methods for transport, logistics, and supply chain management problems. The chapters illustrate the current state-of-the-art in the application of CI methods in these fields and should help and inspire researchers and practitioners to apply and develop efficient methods. A few contributions in this book are extended versions of papers presented at EvoTransLog2007: The First European Workshop on Evolutionary Computation in Transportation and Logistics which was held in Valencia, Spain, in 2007. The majority of contributions are from additional, specially selected researchers, who have done relevant work in different areas of transport, logistics, and supply chain management. The goal is to broadly cover representative applications in these fields as well as different types of solution approaches. On the application side, the contributions focus on design of traffic and transportation networks, vehicle routing, and other important aspects of supply chain management such as inventory management, lot sizing, and lot scheduling. On the method side, the contributions deal with evolutionary algorithms, local search approaches, and scatter search combined with other CI techniques such as neural networks or fuzzy approaches. The book is structured according to the application domains. Thus, it has three parts dealing with traffic and transportation networks, vehicle routing, and supply chain management.

Keywords

Logistics computational intelligence evolution evolutionary algorithm evolutionary computation genetic algorithm genetic algorithms linear optimization neural network optimization production scheduling

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-69390-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-69024-5
  • Online ISBN 978-3-540-69390-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book