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Optimization In Artificial Intelligence And Data Sciences Ods First Hybrid Conference Rome Italy September 1417 2021 Lavinia Amorosi

  • SKU: BELL-43269104
Optimization In Artificial Intelligence And Data Sciences Ods First Hybrid Conference Rome Italy September 1417 2021 Lavinia Amorosi
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Optimization In Artificial Intelligence And Data Sciences Ods First Hybrid Conference Rome Italy September 1417 2021 Lavinia Amorosi instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 2.96 MB
Author: Lavinia Amorosi, Paolo Dell’Olmo, Isabella Lari
ISBN: 9783030953799, 3030953793
Language: English
Year: 2022

Product desciption

Optimization In Artificial Intelligence And Data Sciences Ods First Hybrid Conference Rome Italy September 1417 2021 Lavinia Amorosi by Lavinia Amorosi, Paolo Dell’olmo, Isabella Lari 9783030953799, 3030953793 instant download after payment.

This book is addressed to researchers in operations research, data science and artificial intelligence. It collects selected contributions from the first hybrid international conference “Optimization and Decision Science” (ODS2021), which was held in Rome 14-17 September 2021 and organized by AIRO, the Italian Operations Research Society and the Department of Statistical Sciences of Sapienza University of Rome. The book offers new and original contributions on a different methodological optimization topics, from Support Vector Machines to Game Theory Network Models, from Mathematical Programming to Heuristic Algorithms, and optimization methods for a number of emerging problems from Truck and Drone delivery to Risk Assessment, from Power Networks Design to Portfolio Optimization. The articles in the book can give a significant edge to the general themes of sustainability and pollution reduction, distributive logistics, healthcare management in pandemic scenarios and clinical trials, distributed computing, scheduling, and many others. For these reasons, the book is aimed not only at researchers in the Operations Research community but also for practitioners facing optimal decision-making problems in these areas and to students and researchers from other disciplines, including artificial intelligence, computer sciences, finance, mathematics, and engineering.

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