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008			221105s2022 sz | s |||| 0|eng d
020			_a9783030981082
024	7		_a10.1007/978-3-030-98108-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.N37 _b2022 EB
100	1		_aUrquhart, Neil _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685212
245	1	0	_aNature Inspired Optimisation for Delivery Problems : _bfrom Theory to the Real World _cby Neil Urquhart
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publising _c2022
300			_a1 recurso en línea (XVII, 259 páginas) _b75 ilustraciones, 43 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aNatural Computing Series
505	0		_aPart I, Simple Yet Complex Problems -- The Traveling Salesman Problem -- Vehicle Routing Problems (VRPs) -- More Complex VRPs -- Multi-objective Problems -- Part II, Data and Routing -- An Introduction to Geospatial Data -- Routing Algorithms -- Linking to Data Sources -- Visualising Data -- Part III, Real-World Problems -- Food Deliveries in Rural Areas -- Delivering Milk -- Postal Deliveries -- Mobile Workforce Routing -- Urban Logistics.
520			_aThis 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 out the algorithms and techniques discussed.
988			_aSpringer_Computer_2022
650		7	_2embne _9158738 _aProceso en lenguaje natural (Informática)
776	0	8	_iPrinted edition: _z9783030981075
776	0	8	_iPrinted edition: _z9783030981099
776	0	8	_iPrinted edition: _z9783030981105
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-98108-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b11/2022 _dz _eIG _zSI