Abstract
This paper extends a geometric framework for interpreting crossover and mutation [4] to the case of sequences. This representation is important because it is the link between artificial evolution and biological evolution. We define and theoretically study geometric crossover for sequences under edit distance and show its intimate connection with the biological notion of sequence homology. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Moraglio, A., Poli, R., & Seehuus, R. (2006). Geometric crossover for biological sequences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3905 LNCS, pp. 121–132). https://doi.org/10.1007/11729976_11
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