Tuning Metaheuristics A Machine Learning Perspective /

• Main Author: Birattari, Mauro (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Computational Intelligence, 197
• Subjects: Mathematics.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Applications of Mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

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 metaheuris...

Table of Contents:

• Background and State-of-the-Art
• Statement of the Tuning Problem
• F-Race for Tuning Metaheuristics
• Experiments and Applications
• Some Considerations on the Experimental Methodology
• Conclusions.