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Optimization and decision scienceODS...

(1998 :)

Optimization and decision scienceODS, virtual conference, November 19, 2020 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization and decision scienceedited by Raffaele Cerulli ... [et al.].
Reminder of title:	ODS, virtual conference, November 19, 2020 /
remainder title:	ODS
other author:	Cerulli, Raffaele.
corporate name:
Published:	Cham :Springer International Publishing :2021.
Description:	xviii, 247 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Mathematical optimization
Online resource:	https://doi.org/10.1007/978-3-030-86841-3
ISBN:	9783030868413$q(electronic bk.)

Optimization and decision scienceODS, virtual conference, November 19, 2020 /
Optimization and decision scienceODS, virtual conference, November 19, 2020 /[electronic resource] :ODSedited by Raffaele Cerulli ... [et al.]. - Cham :Springer International Publishing :2021. - xviii, 247 p. :ill. (some col.), digital ;24 cm. - AIRO Springer series,v. 72523-7055 ;. - AIRO Springer series ;v.2..

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$q(electronic bk.)

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

252884
Mathematical optimization

LC Class. No.: QA402.5 / .I58 2020

Dewey Class. No.: 519.6

Optimization and decision scienceODS, virtual conference, November 19, 2020 /
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520 $a 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.
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