Abstract
In the previous chapters, the presented theory about representations was mainly used for analysis and design of representations. The investigations into the properties of representations were based on theory and helped us to understand what happens when GEAs use a specific representation. However, in practice, GEA users are often less interested in theory about representations but want simple instruments for a fast and rough prediction of the expected performance of a representation. They have several representations at hand and want to know which representation they should choose for their problem. We do not want to leave them alone with their problems, but illustrate how they can advantageously use the proposed theory.
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© 2002 Physica-Verlag Heidelberg
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Rothlauf, F. (2002). Performance of Genetic and Evolutionary Algorithms on Tree Problems. In: Representations for Genetic and Evolutionary Algorithms. Studies in Fuzziness and Soft Computing, vol 104. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-88094-0_8
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DOI: https://doi.org/10.1007/978-3-642-88094-0_8
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-642-88096-4
Online ISBN: 978-3-642-88094-0
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