Jetzt 40% Rabatt auf Jura- & Psychologietitel oder einen 30€-Gutschein für Medizin eBooks sichern!

Operations Research/Computer Science Interfaces Series

Approximate Dynamic Programming for Dynamic Vehicle Routing

Autoren: Ulmer, Marlin

Vorschau
  • First monograph to provide a comprehensive overview of stochastic dynamic vehicle routing problems (SDVRPs)Demonstrates the advantages of the approximate dynamic programming (ADP) compared to conventional heuristicsAccompanies the ADP methodology with illustrative examples from the field of SDVRPs

Dieses Buch kaufen

eBook 91,62 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-55511-9
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: PDF, EPUB
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 117,69 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-55510-2
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Softcover 117,69 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-85681-0
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Über dieses Buch

This book provides a straightforward overview for every researcher interested in stochastic dynamic vehicle routing problems (SDVRPs). The book is written for both the applied researcher looking for suitable solution approaches for particular problems as well as for the theoretical researcher looking for effective and efficient methods of stochastic dynamic optimization and approximate dynamic programming (ADP). To this end, the book contains two parts. In the first part, the general methodology required for modeling and approaching SDVRPs is presented. It presents adapted and new, general anticipatory methods of ADP tailored to the needs of dynamic vehicle routing.  Since stochastic dynamic optimization is often complex and may not always be intuitive on first glance, the author accompanies the ADP-methodology with illustrative examples from the field of SDVRPs.
The second part of this book then depicts the application of the theory to a specific SDVRP. The process starts from the real-world application. The author describes a SDVRP with stochastic customer requests often addressed in the literature,  and then shows in detail how this problem can be modeled as a Markov decision process and presents several anticipatory solution approaches based on ADP. In an extensive computational study, he shows the advantages of the presented approaches compared to conventional heuristics. To allow deep insights in the functionality of ADP, he presents a comprehensive analysis of the ADP approaches.

Über den Autor

Marlin Ulmer is a Graduate in Mathematics and owns a Doctorate Degree in Economics. He is currently a Research Associate at the Carl-Friedrich Gauß Department of the Technische Universität Braunschweig in Germany. His main research field is Prescriptive Analytics in Transportation. His particular research interests are Vehicle Routing, Stochastic Optimization, and Approximate Dynamic Programming.

Inhaltsverzeichnis (12 Kapitel)

Inhaltsverzeichnis (12 Kapitel)

Dieses Buch kaufen

eBook 91,62 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-55511-9
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: PDF, EPUB
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 117,69 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-55510-2
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Softcover 117,69 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-85681-0
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Loading...

Wir empfehlen

Loading...

Bibliografische Information

Bibliographic Information
Buchtitel
Approximate Dynamic Programming for Dynamic Vehicle Routing
Autoren
Titel der Buchreihe
Operations Research/Computer Science Interfaces Series
Buchreihen Band
61
Copyright
2017
Verlag
Springer International Publishing
Copyright Inhaber
Springer International Publishing AG
eBook ISBN
978-3-319-55511-9
DOI
10.1007/978-3-319-55511-9
Hardcover ISBN
978-3-319-55510-2
Softcover ISBN
978-3-319-85681-0
Buchreihen ISSN
1387-666X
Auflage
1
Seitenzahl
XXV, 197
Anzahl der Bilder
49 schwarz-weiß Abbildungen, 6 Abbildungen in Farbe
Themen