Anzeige
Erschienen in:
2010 | OriginalPaper | Buchkapitel
Introduction
verfasst von : Thomas Bartz-Beielstein, Marco Chiarandini, Luís Paquete, Mike Preuss
Erschienen in: Experimental Methods for the Analysis of Optimization Algorithms
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Theory and experiments are complementary ways to analyze optimization algorithms. Experiments can also live a life of their own and produce learning without need to follow or test a theory. Yet, in order to make conclusions based on experiments trustworthy, reliable, and objective a systematic methodology is needed. In the natural sciences, this methodology relies on the mathematical framework of statistics. This book collects the results of recent research that focused on the application of statistical principles to the specific task of analyzing optimization algorithms.