Tuning Metaheuristics: A Machine Learning Perspective: 197 (Studies in Computational Intelligence) - Hardcover

Birattari

Hardcover

ISBN 10: 3642004822 ISBN 13: 9783642004827

Verlag: Springer, 2009

Inhaltsangabe

Book by Birattari Mauro

Über diesen Titel

Reseña del editor:

This book lays the foundations for a scientific approach to tuning metaheuristics. The fundamental intuition that underlies Birattari's approach is that the tuning problem has much in common with the problems that are typically faced in machine learning.

Contraportada:

The importance of tuning metaheuristics is widely acknowledged in scientific literature. However, there is very little dedicated research on the subject.  Typically, scientists and practitioners tune metaheuristics by hand, guided only by their experience and by some rules of thumb. Tuning metaheuristics is often considered to be more of an art than a science.

This book lays the foundations for a scientific approach to tuning metaheuristics.  The fundamental intuition that underlies Birattari's approach is that the tuning problem has much in common with the problems that are typically faced in machine learning.  By adopting a machine learning perspective, the author gives a formal definition of the tuning problem, develops a generic algorithm for tuning metaheuristics, and defines an appropriate experimental methodology for assessing the performance of metaheuristics.

Über diese Auflage

• Verlag: Springer
• Erscheinungsdatum: 2009
• ISBN 10: 3642004822
• ISBN 13: 9783642004827
• Einband: Tapa dura
• Auflage: 2
• Anzahl der Seiten: 232