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Optimization and Decision Science = ODS, Virtual Conference, November 19, 2020 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Optimization and Decision Science/ edited by Raffaele Cerulli, Mauro Dell'Amico, Francesca Guerriero, Dario Pacciarelli, Antonio Sforza.
Reminder of title:	ODS, Virtual Conference, November 19, 2020 /
other author:	Cerulli, Raffaele.
Description:	XVIII, 247 p. 29 illus., 21 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computer science—Mathematics. -
Online resource:	https://doi.org/10.1007/978-3-030-86841-3
ISBN:	9783030868413

Optimization and Decision Science = ODS, Virtual Conference, November 19, 2020 /
Optimization and Decision ScienceODS, Virtual Conference, November 19, 2020 /[electronic resource] :edited by Raffaele Cerulli, Mauro Dell'Amico, Francesca Guerriero, Dario Pacciarelli, Antonio Sforza. - 1st ed. 2021. - XVIII, 247 p. 29 illus., 21 illus. in color.online resource. - AIRO Springer Series,72523-7055 ;. - AIRO Springer Series,1.

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.

ISBN: 9783030868413

Standard No.: 10.1007/978-3-030-86841-3doiSubjects--Topical Terms:

1253519
Computer science—Mathematics.

LC Class. No.: QA76.9.M35

Dewey Class. No.: 004.0151

Optimization and Decision Science = ODS, Virtual Conference, November 19, 2020 /
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