| 期刊全称 | Approximate Dynamic Programming for Dynamic Vehicle Routing | | 影响因子2023 | Marlin Wolf Ulmer | | 视频video | | | 发行地址 | 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 convent | | 学科分类 | Operations Research/Computer Science Interfaces Series | | 图书封面 |  | | 影响因子 | 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 pr | | Pindex | Book 2017 |
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发表于 2025-3-21 18:13:01
