An evolutionary model that satisfies detailed balance
Neural and Evolutionary Computing
2020-08-25 v2 Probability
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.
Keywords
Cite
@article{arxiv.1902.10834,
title = {An evolutionary model that satisfies detailed balance},
author = {Jüri Lember and Chris Watkins},
journal= {arXiv preprint arXiv:1902.10834},
year = {2020}
}
Comments
38 pages, 5 figures