An evolutionary model that satisfies detailed balance

February 27, 2019 ยท Declared Dead ยท ๐Ÿ› Methodology and Computing in Applied Probability

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Authors Jรผri Lember, Chris Watkins arXiv ID 1902.10834 Category cs.NE: Neural & Evolutionary Cross-listed math.PR Citations 7 Venue Methodology and Computing in Applied Probability Last Checked 4 months ago
Abstract
We propose a class of evolutionary models that involves an arbitrary exchangeable process as the breeding process and different selection schemes. In those models, a new genome is born according to the breeding process, and then a genome is removed according to the selection scheme that involves fitness. Thus the population size remains constant. The process evolves according to a Markov chain, and, unlike in many other existing models, the stationary distribution -- so called mutation-selection equilibrium -- can be easily found and studied. The behaviour of the stationary distribution when the population size increases is our main object of interest. Several phase-transition theorems are proved.
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