Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management / Edition 1

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More About This Textbook


The series Studies in Computational Intelligence (SCI) publishes new developments and advances in the various areas of computational intelligence - quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution - this permits a rapid and broad dissemination of research results.

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 coverrepresentative 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.

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Product Details

  • ISBN-13: 9783540690245
  • Publisher: Springer Berlin Heidelberg
  • Publication date: 3/13/2009
  • Series: Studies in Computational Intelligence Series, #144
  • Edition description: 2009
  • Edition number: 1
  • Pages: 278
  • Product dimensions: 6.40 (w) x 9.40 (h) x 0.80 (d)

Table of Contents

Part I Traffic and Transport Networks

Combined Genetic Computation of Microscopic Trip Demand in Urban Networks Theodore Tsekeris Loukas Dimitriou Antony Stathopoulos 3

Genetically Optimized Infrastructure Design Strategies in Degradable Transport Networks Loukas Dimitriou Theodore Tsekeris Antony Stathopoulos 23

Genetic Algorithm for Constraint Optimal Toll Ring Design Agachai Sumalee 45

Real Time Identification of Road Traffic Control Measures Khaled Almejalli Keshav Dahal M. Alamgir Hossain 63

Simultaneous Airline Scheduling Tobias Grosche Franz Rothlauf 81

Part II Vehicle Routing

GRASP with Path Relinking for the Capacitated Arc Routing Problem with Time Windows Nacima Labadi Christian Prins Mohamed Reghioui 111

A Scatter Search Algorithm for the Split Delivery Vehicle Routing Problem Vicente Campos Angel Corberan Enrique Mota 137

Stochastic Local Search Procedures for the Probabilistic Two-Day Vehicle Routing Problem Karl F. Doerner Walter J. Gutjahr Richard F. Hartl Guglielmo Lulli 153

The Oil Drilling Model and Iterative Deepening Genetic Annealing Algorithm for the Traveling Salesman Problem Hoong Chuin Lau Fei Xiao 169

Online Transportation and Logistics Using Computationally Intelligent Anticipation Peter A.N. Bosman Han La Poutre 185

Part III Supply Chain Management

Supply Chain Inventory Optimisation with Multiple Objectives: An Industrial Case Study Lionel Amodeo Haoxun Chen Aboubacar El Hadji 211

Decomposition of Dynamic Single-Product and Multi-product Lotsizing Problems and Scalability of EDAs Jorn Grahl Stefan Minner Franz Rothlauf 231

Hybrid Genetic Algorithms for the Lot Production and Delivery Scheduling Problem in a Two-Echelon SupplyChain S. Ali Torabi Masoud Jenabi S. Afshin Mansouri 253

Author Index 277

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