Optimization and Learning
4th International Conference, OLA 2021, Catania, Italy, June 21-23, 2021, Proceedings
Published on 18. August 2021
Book
Paperback/Softback
XI, 376 pages
978-3-030-85671-7 (ISBN)
Description
This volume constitutes the refereed proceedings of the 4th International Conference on Optimization and Learning, OLA 2021, held in Catania, Italy, in June 2021. Due to the COVID-19 pandemic the conference was held online.
The 27 full papers were carefully reviewed and selected from 62 submissions. The papers presented in the volume are organized in topical sections on synergies between optimization and learning; learning for optimization; machine learning and deep learning; transportation and logistics; optimization; applications of learning and optimization methods.
The 27 full papers were carefully reviewed and selected from 62 submissions. The papers presented in the volume are organized in topical sections on synergies between optimization and learning; learning for optimization; machine learning and deep learning; transportation and logistics; optimization; applications of learning and optimization methods.
More details
Series
Edition
1st ed. 2021
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
54 farbige Abbildungen, 40 s/w Abbildungen
XI, 376 p. 94 illus., 54 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 21 mm
Weight
587 gr
ISBN-13
978-3-030-85671-7 (9783030856717)
DOI
10.1007/978-3-030-85672-4
Schweitzer Classification
Other editions
Additional editions
Bernabé Dorronsoro | Lionel Amodeo | Mario Pavone
Optimization and Learning
4th International Conference, OLA 2021, Catania, Italy, June 21-23, 2021, Proceedings
E-Book
08/2021
Springer
€96.29
Available for download
Content
Synergies Between Optimization and Learning.- Learning for Optimization.- Machine Learning and Deep Learning.- Transportation and Logistics.- Optimization.- Applications of Learning and Optimization Methods.