K-means clustering as a speciation mechanism within an individual-based evolving predator-prey ecosystem simulation

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Abstract

We present a new method for modeling speciation within a previously created individual-based evolving predator-prey ecosystem simulation. As an alternative to the classical speciation mechanism originally implemented, k-means clustering provides a more realistic method for modeling speciation that, among other things, allows for the recreation of the species tree of life. This discussion introduces the k-means speciation, presents the improvements it provides, and compares the new mechanism versus the traditional method of speciation. © 2010 Springer-Verlag.

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Aspinall, A., & Gras, R. (2010). K-means clustering as a speciation mechanism within an individual-based evolving predator-prey ecosystem simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6335 LNCS, pp. 318–329). https://doi.org/10.1007/978-3-642-15470-6_33

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