Publisher's Synopsis
A metaheuristic is a generic algorithmic template that can be used for finding high quality solutions of optimization problems. The authors show that the problem of tuning a metaheuristic can be described and solved as a machine learning problem. This thesis contains an experimental analysis of F-Race and some examples of practical applications.