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Approximate Dynamic Programming for Dynamic Vehicle Routing (Paperback, Softcover reprint of the original 1st ed. 2017)
Loot Price: R3,988
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Approximate Dynamic Programming for Dynamic Vehicle Routing (Paperback, Softcover reprint of the original 1st ed. 2017)
Series: Operations Research/Computer Science Interfaces Series, 61
Expected to ship within 10 - 15 working days
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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.
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