Together with Thomas Bartz-Beielstein, Marco Chiarandini and Luis Paquete, Mike Preuss of the Computational Intelligence group of Prof. Rudolph has edited (and partly authored) a book that summarizes most of the new developments in experimental methods for the analysis of optimization methods.
The book contains various diverse approaches and is mainly intended for scientists working in the areas of Computational Intelligence, Machine Learning, Metaheuristics, and Operations Research. Next to forewords by Catherine C. McGeoch and Hans-Paul Schwefel, it contains e.g. contributions by Jack P.C. Kleijnen, Jürg Hüsler, and Thomas Stützle, and also a chapter by Markus Chimani (now Jena) and Karsten Klein of the Algorithm Engineering group.