Buch, Englisch, 75 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 323 g
Reihe: AIRO Springer Series
6th AIROYoung Workshop, Rome, Italy, February 23-25, 2022
Buch, Englisch, 75 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 323 g
Reihe: AIRO Springer Series
ISBN: 978-3-031-34545-6
Verlag: Springer International Publishing
This book provides a collection of contributions by Ph.D. students and early researchers who attended the 6th AIROYoung Workshop, held in Rome (Italy) at Roma Tre University, from 23 February to 25 February 2022. The selected contributions represent state-of-the-art knowledge related to several areas of operations research, optimization, and data science. The target audience of this book is primarily composed of Ph.D. students and early or experienced researchers in optimization and operations research. However, due to its interdisciplinary content, it is of high interest to other closely related research communities. Moreover, since it contains several works involving the use of optimization and data science in real applications, it is of interest to practitioners facing complex decision-making problems in these areas.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
Weitere Infos & Material
Predicting the Empirical Hardness of Metric TSP Instances.- A two-phase approach to evaluate and optimize an interlibrary loan service: the case study of Provincia di Brescia.- Optimising the order picking process: the case of a retail distribution company in Italy.- Batch Delivery Considerations in Additive Manufacturing Machine Scheduling Problem.- An LP model for the Central Energy System