Learning and Intelligent Optimization

11th International Conference, LION 11, Nizhny Novgorod, Russia, June 19-21, 2017, Revised Selected Papers
1. Auflage 2017
ISBN: 978-3-319-69403-0
Verlag: Springer International Publishing

Buch, Englisch, 390 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 6088 g

Reihe: Theoretical Computer Science and General Issues

This book constitutes the thoroughly refereed post-conference proceedings of the 11 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.

Zielgruppe

Research

Autoren/Hrsg.

Battiti, Roberto

Sergeyev, Yaroslav D.

Kvasov, Dmitri E.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

Learning and Optimization in interconnected fields such as mathematical programming, global optimization, machine learning, and artificial intelligence.- Special focus: Advanced ideas, technologies, methods, and applications in optimization and machine learning.