Learning and Intelligent Optimization

9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers
2015
ISBN: 978-3-319-19083-9
Verlag: Springer International Publishing

Buch, Englisch, 313 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 4978 g

Reihe: Theoretical Computer Science and General Issues

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.

Zielgruppe

Research

Autoren/Hrsg.

Dhaenens, Clarisse

Jourdan, Laetitia

Marmion, Marie-Eléonore

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung

Inhaltsverzeichnis

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.