| 書目名稱 | Nature Inspired Optimisation for Delivery Problems | | 副標(biāo)題 | From Theory to the R | | 編輯 | Neil Urquhart | | 視頻video | http://file.papertrans.cn/663/662008/662008.mp4 | | 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 | | 叢書名稱 | Natural Computing Series | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | 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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