A Computational Model for Controlled Reproductive Selection at Population Scale

Defines a computational framework for the formation, governance, and optimization of genetic pools. Formalizes how traits propagate across generations under controlled selection functions, introduces diversity and stability constraints, and defines governance mechanisms for optimization at population scale.

Authors

Pavel Zagadailov (ORCID: https://orcid.org/0000-0002-5433-1118)

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2026-09-30
DOI: https://doi.org/10.5281/zenodo.23068044
Primary Topic: Evolution and Genetic Dynamics
Type: preprint

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preprint

A Computational Model for Controlled Reproductive Selection at Population Scale

Pavel Zagadailov

Sep 30, 2026

Zenodo (CERN European Organization for Nuclear Research)

Evolution and Genetic Dynamics

preprint

A Computational Model for Controlled Reproductive Selection at Population Scale

Pavel Zagadailov

September 30, 2026preprint en

Abstract

Zenodo (CERN European Organization for Nuclear Research)

Evolution and Genetic Dynamics

DOI Open Access PDF OpenAlex

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A Computational Model for Controlled Reproductive Selection at Population Scale — Pavel Zagadailov · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS