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Optimization and Learning [electronic resource] : 4th International Conference, OLA 2021, Catania, Italy, June 21-23, 2021, Proceedings /

Contributor(s): Material type: TextTextSeries: Communications in Computer and Information Science ; 1443Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021Description: XI, 376 p. 94 illus., 54 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030856724
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
Synergies Between Optimization and Learning -- Learning for Optimization -- Machine Learning and Deep Learning -- Transportation and Logistics -- Optimization -- Applications of Learning and Optimization Methods.
In: Springer Nature eBookSummary: 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.
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Synergies Between Optimization and Learning -- Learning for Optimization -- Machine Learning and Deep Learning -- Transportation and Logistics -- Optimization -- Applications of Learning and Optimization Methods.

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.

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