UID:
almahu_9949227815602882
Umfang:
XVIII, 247 p. 29 illus., 21 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2021.
ISBN:
9783030868413
Serie:
AIRO Springer Series, 7
Inhalt:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783030868406
Weitere Ausg.:
Printed edition: ISBN 9783030868420
Weitere Ausg.:
Printed edition: ISBN 9783030868437
Sprache:
Englisch
DOI:
10.1007/978-3-030-86841-3
URL:
https://doi.org/10.1007/978-3-030-86841-3
URL:
Volltext
(URL des Erstveröffentlichers)
