Abstract

this paper, we will give an overview over the self-adaptive behavior of evolutionary algorithms. We will start with a short overview over the historical development of adaptation mechanisms in evolutionary computation. In the following part, i.e., Section 2.2, we will introduce classification schemes that are used to group the various approaches. Afterwards, self-adaptive mechanisms will be considered. The overview is started by some examples -- introducing self-adaptation of the strategy parameter and of the crossover operator. Several authors have pointed out that the concept of self-adaptation may be extended. Section 3.2 is devoted to such ideas. The mechanism of selfadaptation has been examined in various areas in order to find answers to the question under which conditions self-adaptation works and when it could fail. In the remaining sections, therefore, we present a short overview over some of the research done in this field

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