书目名称 | Nature Inspired Optimisation for Delivery Problems | 副标题 | From Theory to the R | 编辑 | Neil Urquhart | 视频video | | 概述 | Explains classic routing and transportation problems and solutions.Shows how to exploit geospatial data, routing algorithms, and visualization.Presents a wealth of real-world applications | 丛书名称 | Natural Computing Series | 图书封面 |  | 描述 | .This book explains classic routing and transportation problems and solutions, before offering insights based on successful real-world solutions. The chapters in Part I introduce and explain the traveling salesperson problem (TSP), vehicle routing problems (VRPs), and multi-objective problems, with an emphasis on heuristic approaches and software engineering aspects. In turn, Part II demonstrates how to exploit geospatial data, routing algorithms, and visualization. In Part III, the above techniques and insights are combined in real-world success stories from domains such as food delivery in rural areas, postal delivery, workforce routing, and urban logistics..The book offers a valuable supporting text for advanced undergraduate and graduate courses and projects in Computer Science, Engineering, Operations Research, and Mathematics. It is accompanied by a repository of source code, allowing readers to try outthe algorithms and techniques discussed.. | 出版日期 | Textbook 2022 | 关键词 | Traveling Salesperson Problem (TSP); Vehicle Routing Problem (VRP); Multi-objective Optimization; Routi | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-98108-2 | isbn_softcover | 978-3-030-98110-5 | isbn_ebook | 978-3-030-98108-2Series ISSN 1619-7127 Series E-ISSN 2627-6461 | issn_series | 1619-7127 | copyright | Springer Nature Switzerland AG 2022 |
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