Abstract
In this chapter, we study an often ignored aspect of heuristic optimization, namely the theory of representations for genetic and evolutionary algorithms. Although the importance of choosing proper representations for the performance of genetic and evolutionary algorithms is already recognized (Caruana and Schaffer 1988; Goldberg 1989c; Liepins and Vose 1990; Ronald et al. 1995; Radcliffe 1991a; Coli and Palazzari 1995b; Ronald 1997; Albuquerque et al. 2000; Kargupta 2000a; Schnier and Yao 2000; Hinterding 2000), we are still far from a complete theory of representations.
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© 2006 Springer-Verlag Berlin/Heidelberg
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Rothlauf, F. (2006). Three Elements of a Theory of Representations. In: Representations for Genetic and Evolutionary Algorithms. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32444-5_3
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DOI: https://doi.org/10.1007/3-540-32444-5_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25059-3
Online ISBN: 978-3-540-32444-7
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