Learning and Intelligent Optimization
9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers
Published on 9. June 2015
Book
Paperback/Softback
XI, 313 pages
978-3-319-19083-9 (ISBN)
Description
This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Learning and Optimization, LION 9, which was held in Lille, France, in January 2015.
The 31 contributions presented were carefully reviewed and selected for inclusion in this book. The papers address all fields between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. Special focus is given to algorithm selection and configuration, learning, fitness landscape, applications, dynamic optimization, multi-objective, max-clique problems, bayesian optimization and global optimization, data mining and - in a special session - also on dynamic optimization.
More details
Series
Edition
2015 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
92 s/w Abbildungen
XI, 313 p. 92 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 18 mm
Weight
499 gr
ISBN-13
978-3-319-19083-9 (9783319190839)
DOI
10.1007/978-3-319-19084-6
Schweitzer Classification
Other editions
Additional editions
Clarisse Dhaenens | Laetitia Jourdan | Marie-Eléonore Marmion
Learning and Intelligent Optimization
9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers
E-Book
06/2015
Springer
€53.49
Available for download
Content
Benchmark problems and performance measures.- Tracking moving optima.- Dynamic multiobjective optimization.- Adaptation, learning, and anticipation.- Handling noisy fitness functions.- Using fitness approximations.- Searching for robust optimal solutions.- Comparative studies.- Hybrid approaches.- Theoretical analysis.- Real-world applications.