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Abstract

It is a broadly accepted fact that evolutionary algorithms (EA) have to be developed problem-specifically. Usually this is based on experience and experiments. Though, most EA environments are not suited for such an approach. Therefore, this paper proposes a few basic concepts which should be supplied by modern EA simulators in order to serve as a toolkit for the development of such algorithms.

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