Taika von Königslöw

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Biological ring species theoretically develop when an ancestral population expands around a geographic barrier and differentiates until terminal populations come back into contact. Adjacent populations are fertile; fertility declines with distance, and the terminal populations are not fertile. This study uses evolutionary algorithms to attempt to create(More)
Biological ring species are a population surrounding a geographic obstruction such as a large lake or a mountain range. Adjacent sub-populations are mutually fertile, but fertility drops with distance. This study attempts to create examples of artificial ring species using evolutionary algorithms. ISAc lists, a representation with self-organized and(More)
This study presents an evolutionary algorithm for locating DNA sequence characters that are diagnostic between closely related groups of species. The algorithm is developed using synthetic data and then tested on biological data from a species of butterfly recently discovered to be a cryptic complex of species. This technique proved to be successful in(More)
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