Geometric Crossover for Biological Sequences
Alberto Moraglio, Riccardo Poli, Rolv Seehuus
Abstract
Alberto Moraglio, Riccardo Poli, Rolv Seehuus
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.
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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.
Key concepts: Crossover, Computer science, Persistent homology, Representation (politics), Sequence (biology), Edit distance, Mutation, Algorithm