Optimization in Artificial Intelligence and Data Sciences / AIRO Springer Series Bd.8 (PDF)
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This book is addressed to researchers in operations research, data science and artificial intelligence. It collects selected contributions from the first hybrid "Optimization and Decision Science - ODS2021" international conference on the theme Optimization and Artificial Intelligence and Data Sciences, 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 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 decision-making problems in these areas and to students and researchers from other disciplines, including Artificial Intelligence, Computer Sciences, Finance, Mathematics, and Engineering.
Paolo Dell'Olmo is a Full Professor in Operations Research at the Department of Statistical Sciences of Sapienza University of Rome. Formerly Department Head, Coordinator of the PhD program in Operations Research, Director of the Master Program in Statistics for the Management of Information Systems; Coordinator of Italian Inter-University Center for Operations Research; Member of the Scientific Committee of Fondazione Roma Sapienza); Member of Board of Directors of Fondazione Sapienza. He is currently Director of the Master Program in Data Intelligence and Strategic Decisions. His research interests are mainly in combinatorial optimization, which is also applied to real-life problems. He has been a scientific coordinator of a number of national research projects, and he's author of several books and approximately 80 papers published in international journals.
Isabella Lari obtained a PhD degree in Operations Research from the University of Rome La Sapienza in 1994. She is a researcher at the Department of Statistics of the University of Rome La
- 2022, 1st ed. 2022, 267 Seiten, Englisch
- Herausgegeben: Lavinia Amorosi, Paolo Dell'Olmo, Isabella Lari
- Verlag: Springer International Publishing
- ISBN-10: 3030953807
- ISBN-13: 9783030953805
- Erscheinungsdatum: 20.05.2022
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