Comparing population mean curves
B. Naudts bnaudts@ruca.ua.ac.be; I. Landrieu landrieu@ruca.ua.ac.be Department of Mathematics and Computer Science, University of Antwerpen (RUCA), Groenenborgerlaan 171, B-2020 Antwerpen, Belgium
Abstract
One approach to the a posteriori classification of problem/algorithm combinations in the context of evolutionary algorithms (EAs), is to record and analyse a number of summary statistics of the evolution of the population. This paper discusses a necessary normalization of the population mean curve, i.e., the curve of the average fitness of the individuals in the population, plotted per generation. The normalization is based on a transformation w.r.t. the density of states (DoS) of the problem, the distribution ...
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