Nature Inspired Optimisation for Delivery Problems
indgår i Natural Computing Series serien
- Indbinding:
- Hardback
- Sideantal:
- 280
- Udgivet:
- 15. maj 2022
- Udgave:
- 22001
- Størrelse:
- 160x21x241 mm.
- Vægt:
- 588 g.
- 8-11 hverdage.
- 9. december 2024
På lager
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Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Nature Inspired Optimisation for Delivery Problems
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.
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.
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Bogen Nature Inspired Optimisation for Delivery Problems findes i følgende kategorier:
- Business og læring > Ledelse & strategi
- Business og læring > Computer og IT
- Økonomi, finans, erhvervsliv og ledelse > Erhvervsliv, virksomheder og ledelse > Ledelse og ledelsesteknikker > Ledelse og beslutningstagning
- Økonomi, finans, erhvervsliv og ledelse > Erhvervsliv, virksomheder og ledelse > Operationsanalyse
- Matematik og naturvidenskab > Matematik > Optimalisering
- Databehandling og informationsteknologi > Informatik > Matematisk datateori
- Databehandling og informationsteknologi > Informatik > Kunstig intelligens
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