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Learning and Intelligent Optimization : 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.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Battiti, Roberto, 1961- editor.
Kvasov, Dmitri E., 1977- editor.
Sergeyev, Yaroslav D., 1963- editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 10556.
Theoretical Computer Science and General Issues ; 10556
Language:
English
Subjects (All):
Algorithms.
Computer logic.
Artificial intelligence.
Numerical analysis.
Computers.
Computer simulation.
Algorithm Analysis and Problem Complexity.
Logics and Meanings of Programs.
Artificial Intelligence.
Numeric Computing.
Computation by Abstract Devices.
Simulation and Modeling.
Local Subjects:
Algorithm Analysis and Problem Complexity.
Logics and Meanings of Programs.
Artificial Intelligence.
Numeric Computing.
Computation by Abstract Devices.
Simulation and Modeling.
Physical Description:
1 online resource (XIII, 390 pages) : 92 illustrations.
Edition:
First edition 2017.
Contained In:
Springer eBooks
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2017.
System Details:
text file PDF
Summary:
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.
Other Format:
Printed edition:
ISBN:
978-3-319-69404-7
9783319694047
Access Restriction:
Restricted for use by site license.

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