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Advances in Computational Intelligence in Transport Logistics and Supply Chain Management

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.

Informations détaillées sur le livre - Advances in Computational Intelligence in Transport Logistics and Supply Chain Management


EAN (ISBN-13): 9783540690245
ISBN (ISBN-10): 3540690247
Version reliée
Livre de poche
Date de parution: 2009
Editeur: Springer Berlin Heidelberg

Livre dans la base de données depuis 2014-02-19T10:25:13+01:00 (Paris)
Page de détail modifiée en dernier sur 2024-01-15T18:25:43+01:00 (Paris)
ISBN/EAN: 3540690247

ISBN - Autres types d'écriture:
3-540-69024-7, 978-3-540-69024-5
Autres types d'écriture et termes associés:
Auteur du livre: andrea fink, andreas franz, rothlauf, roth, andreas finke
Titre du livre: management logistics, supply chain management, studies computational intelligence, transport, franz, fink, berlin buch


Données de l'éditeur

Auteur: Andreas Fink; Franz Rothlauf
Titre: Studies in Computational Intelligence; Advances in Computational Intelligence in Transport, Logistics, and Supply Chain Management
Editeur: Springer; Springer Berlin
278 Pages
Date de parution: 2009-03-13
Berlin; Heidelberg; DE
Imprimé / Fabriqué en
Langue: Anglais
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XII, 278 p. 91 illus.

BB; Hardcover, Softcover / Technik/Maschinenbau, Fertigungstechnik; Fahrzeugbau; Verstehen; Logistics; computational intelligence; evolution; evolutionary algorithm; evolutionary computation; genetic algorithm; genetic algorithms; linear optimization; neural network; optimization; production; scheduling; Engineering Economics; Automotive Engineering; Artificial Intelligence; Mathematical and Computational Engineering Applications; Software Engineering; Industrial Management; Künstliche Intelligenz; Mathematik für Ingenieure; Software Engineering; Ingenieurswesen, Maschinenbau allgemein; Management und Managementtechniken; BC

Traffic and Transport Networks.- Combined Genetic Computation of Microscopic Trip Demand in Urban Networks.- Genetically Optimized Infrastructure Design Strategies in Degradable Transport Networks.- Genetic Algorithm for Constraint Optimal Toll Ring Design.- Real Time Identification of Road Traffic Control Measures.- Simultaneous Airline Scheduling.- Vehicle Routing.- GRASP with Path Relinking for the Capacitated Arc Routing Problem with Time Windows.- A Scatter Search Algorithm for the Split Delivery Vehicle Routing Problem.- Stochastic Local Search Procedures for the Probabilistic Two-Day Vehicle Routing Problem.- The Oil Drilling Model and Iterative Deepening Genetic Annealing Algorithm for the Traveling Salesman Problem.- Online Transportation and Logistics Using Computationally Intelligent Anticipation.- Supply Chain Management.- Supply Chain Inventory Optimisation with Multiple Objectives: An Industrial Case Study.- Decomposition of Dynamic Single-Product and Multi-product Lotsizing Problems and Scalability of EDAs.- Hybrid Genetic Algorithms for the Lot Production and Delivery Scheduling Problem in a Two-Echelon Supply Chain.
Presents Advances of Computational Intelligence in Transportation and Logistics

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