Approximate Dynamic Programming for Dynami...

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Beschreibung

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.

Zusammenfassung

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 heuristics

Accompanies the ADP methodology with illustrative examples from the field of SDVRPs

Includes supplementary material: [...]

Inhaltsverzeichnis

Introduction.- Part I: Dynamic Vehicle Routing.- Rich Vehicle Routing: Environment.- Rich Vehicle Routing: Applications.- Modeling.- Anticipatory.- Solution Approaches.- Literature Classification.- Part II: Stochastic Customer Requests.- Motivation.- SDVRP with Stochastic Requests.- Solution Algorithms.- Computational Evaluation.- Conclusion and Outlook.

Details

Erscheinungsjahr:	2017
Fachbereich:	Allgemeines
Genre:	Recht , Sozialwissenschaften , Wirtschaft
Rubrik:	Recht & Wirtschaft
Medium:	Buch
Reihe:	Operations Research/Computer Science Interfaces Series
Inhalt:	xxv 197 S. 49 s/w Illustr. 6 farbige Illustr. 197 p. 55 illus. 6 illus. in color.
ISBN-13:	9783319555102
ISBN-10:	3319555103
Sprache:	Englisch
Ausstattung / Beilage:	HC runder Rücken kaschiert
Einband:	Gebunden
Autor:	Ulmer, Marlin Wolf
Auflage:	1st ed. 2017
Hersteller:	Springer Nature Switzerland Springer International Publishing Springer International Publishing AG Operations Research/Computer Science Interfaces Series
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	241 x 160 x 18 mm
Von/Mit:	Marlin Wolf Ulmer
Erscheinungsdatum:	27.04.2017
Gewicht:	0,506 kg

Artikel-ID: 109025859