Optimization and Decision Science
indgår i AIRO Springer Series serien
- Indbinding:
- Paperback
- Sideantal:
- 268
- Udgivet:
- 5. januar 2023
- Udgave:
- 23001
- Størrelse:
- 155x14x235 mm.
- Vægt:
- 460 g.
- Ukendt - mangler pt..
Normalpris
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 Optimization and Decision Science
This book collects selected contributions from the international conference ¿Optimization and Decision Science¿ (ODS2020), which was held online on November 19, 2020, and organized by AIRO, the Italian Operations Research Society.
The book offers new and original contributions on optimization, decisions science and prescriptive analytics from both a methodological and applied perspective, using models and methods based on continuous and discrete optimization, graph theory and network optimization, analytics, multiple criteria decision making, heuristics, metaheuristics, and exact methods.
In addition to more theoretical contributions, the book chapters describe models and methods for addressing a wide diversity of real-world applications, spanning health, transportation, logistics, public sector, manufacturing, and emergency management.
Although the book is aimed primarily at researchers and PhD students in the Operations Research community, the interdisciplinary content makes it interesting for practitioners facing complex decision-making problems in the afore-mentioned areas, as well as for scholars and researchers from other disciplines, including artificial intelligence, computer sciences, economics, mathematics, and engineering.
The book offers new and original contributions on optimization, decisions science and prescriptive analytics from both a methodological and applied perspective, using models and methods based on continuous and discrete optimization, graph theory and network optimization, analytics, multiple criteria decision making, heuristics, metaheuristics, and exact methods.
In addition to more theoretical contributions, the book chapters describe models and methods for addressing a wide diversity of real-world applications, spanning health, transportation, logistics, public sector, manufacturing, and emergency management.
Although the book is aimed primarily at researchers and PhD students in the Operations Research community, the interdisciplinary content makes it interesting for practitioners facing complex decision-making problems in the afore-mentioned areas, as well as for scholars and researchers from other disciplines, including artificial intelligence, computer sciences, economics, mathematics, and engineering.
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Bogen Optimization and Decision Science findes i følgende kategorier:
- Business og læring > Computer og IT
- Økonomi, finans, erhvervsliv og ledelse > Erhvervsliv, virksomheder og ledelse > Operationsanalyse
- Matematik og naturvidenskab > Matematik > Diskret matematik
- Databehandling og informationsteknologi > Informatik > Matematisk datateori > Matematik til informatikfag
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