Learning and Intelligent Optimization - 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers

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.

List of contents

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.

Product details

• Assisted by: Clarisse Dhaenens (Editor), Laetiti Jourdan (Editor), Laetitia Jourdan (Editor), Marie-Eléonore Marmion (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2015
• EAN: 9783319190839
• ISBN: 978-3-31-919083-9
• No. of pages: 313
• Dimensions: 159 mm x 235 mm x 18 mm
• Weight: 499 g
• Illustrations: XI, 313 p. 92 illus.
• Series: Lecture Notes in Computer Science; Theoretical Computer Science and General Issues; Lecture Notes in Computer Science; Theoretical Computer Science and General Issues
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics