| 000 | 03486nam a22005895i 4500 | ||
|---|---|---|---|
| 001 | 978-3-030-98108-2 | ||
| 003 | DE-He213 | ||
| 005 | 20240423125354.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220514s2022 sz | s |||| 0|eng d | ||
| 020 |
_a9783030981082 _9978-3-030-98108-2 |
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| 024 | 7 |
_a10.1007/978-3-030-98108-2 _2doi |
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| 050 | 4 | _aQA75.5-76.95 | |
| 072 | 7 |
_aUYA _2bicssc |
|
| 072 | 7 |
_aCOM014000 _2bisacsh |
|
| 072 | 7 |
_aUYA _2thema |
|
| 082 | 0 | 4 |
_a004.0151 _223 |
| 100 | 1 |
_aUrquhart, Neil. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 1 | 0 |
_aNature Inspired Optimisation for Delivery Problems _h[electronic resource] : _bFrom Theory to the Real World / _cby Neil Urquhart. |
| 250 | _a1st ed. 2022. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2022. |
|
| 300 |
_aXVII, 259 p. 75 illus., 43 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aNatural Computing Series, _x2627-6461 |
|
| 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. | ||
| 650 | 0 | _aComputer science. | |
| 650 | 0 | _aComputational intelligence. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aOperations research. | |
| 650 | 0 | _aMathematical optimization. | |
| 650 | 1 | 4 | _aTheory of Computation. |
| 650 | 2 | 4 | _aComputational Intelligence. |
| 650 | 2 | 4 | _aArtificial Intelligence. |
| 650 | 2 | 4 | _aOperations Research and Decision Theory. |
| 650 | 2 | 4 | _aOptimization. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030981075 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030981099 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030981105 |
| 830 | 0 |
_aNatural Computing Series, _x2627-6461 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-98108-2 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 942 | _cSPRINGER | ||
| 999 |
_c177221 _d177221 |
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