Learning and Intelligent Optimization [electronic resource] : 11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revised Selected Papers / edited by Roberto Battiti, Dmitri E. Kvasov, Yaroslav D. Sergeyev.
Contributor(s): Battiti, Roberto [editor.]
| Kvasov, Dmitri E [editor.] | Sergeyev, Yaroslav D [editor.] | SpringerLink (Online service).
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BookSeries: Theoretical Computer Science and General Issues: 10556Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XIII, 390 p. 92 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319694047.Subject(s): Algorithms | Computer science | Artificial intelligence | Numerical analysis | Computer simulation | Algorithms | Computer Science Logic and Foundations of Programming | Artificial Intelligence | Numerical Analysis | Theory of Computation | Computer ModellingAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 518.1 Online resources: Click here to access online
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Springer Nature eBookSummary: This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Learning and Intelligent Optimization, LION 11, held in Nizhny,Novgorod, Russia, in June 2017. The 20 full papers (among these one GENOPT paper) and 15 short papers presented have been carefully reviewed and selected from 73 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning.
This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Learning and Intelligent Optimization, LION 11, held in Nizhny,Novgorod, Russia, in June 2017. The 20 full papers (among these one GENOPT paper) and 15 short papers presented have been carefully reviewed and selected from 73 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning.
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