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Learning and Intelligent Optimization edited by Meinolf Sellmann, Kevin Tierney. [electronic resource] :

Contributor(s): Material type: TextTextPublication details: Cham Springer International Publishing 2023Edition: 1st ed. 2023Description: XIV, 616 p. 172 illus., 142 illus. in color. online resourceISBN:
  • 9783031445057
Subject(s): DDC classification:
  • 518
Online resources: Summary: This book constitutes the refereed proceedings of the 17th International Conference on Learning and Intelligent Optimization, LION-17, held in Nice, France, during June 4-8, 2023. The 40 full papers presented have been carefully reviewed and selected from 83 submissions. They focus on all aspects of unleashing the potential of integrating machine learning and optimization approaches, including automatic heuristic selection, intelligent restart strategies, predict-then-optimize, Bayesian optimization, and learning to optimize.
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Item type Home library Call number Status Notes Date due Barcode Item holds
e-Book e-Book S. R. Ranganathan Learning Hub Online Available Platform:Springer EB2835
Total holds: 0

This book constitutes the refereed proceedings of the 17th International Conference on Learning and Intelligent Optimization, LION-17, held in Nice, France, during June 4-8, 2023. The 40 full papers presented have been carefully reviewed and selected from 83 submissions. They focus on all aspects of unleashing the potential of integrating machine learning and optimization approaches, including automatic heuristic selection, intelligent restart strategies, predict-then-optimize, Bayesian optimization, and learning to optimize.

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