Following decades of sustained improvement, metaheuristics are one of the great success
stories of optimization research. However, in order for research in metaheuristics to avoid …

There is a pressing need for a higher-level architectural per-spective in metaheuristics
research. This article proposes a purely functional collection of component signatures as a …

The no free lunch (NFL) theorem puts a limit to the range of problems a certain metaheuristic
algorithm can be applied to successfully. For many methods these limits are unknown a …

The improvement of machine learning algorithm performance can be achieved via the
search across the algorithm's parameter space by a number of meta-heuristic based …

The task of selecting an appropriate algorithm instance for a given optimization problem
instance often requires significant experience. Efficient optimization requires a different set …

Exploratory landscape analysis is a useful method for algorithm selection, parametrization
and creating an understanding of how a heuristic optimization algorithm performs on a …

Second, I want to thank my supervisors, Antonio and Sergio, because this thesis is the result
of their encouragement, guidance, support and help. Thanks Antonio, for being as open …