English

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

R2 v1 2026-06-23T07:53:39.724Z