株式会社極東書店トップ ＞ 商品一覧 ＞ Optimization and Decision Science : ODS, Virtual Conference, November 19, 2020. 1st ed. 2021.
商品詳細
Optimization and Decision Science : ODS, Virtual Conference, November 19, 2020. 1st ed. 2021.
・ISBN 978-3-030-86843-7 paper EUR 139.99
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お気に入り
★★★
| 著者・編者 | Cerulli, Raffaele / Dell'Amico, Mauro / Guerriero, Francesca / Pacciarelli, Dario / Sforza, Antonio (eds.), |
|---|---|
| シリーズ | AIRO Springer Series |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2023 |
| ページ数 | 247 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-6142＞ |
解説
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.