Fitness optimization and evolution of permanent replicator systems

Autor:	Alexander S. Bratus, Sergei Drozhzhin, Tatiana Yakushkina
Rok vydání:	2020
Předmět:	Fitness landscape Computer science Specific time FOS: Physical sciences 01 natural sciences 010305 fluids & plasmas 03 medical and health sciences 0103 physical sciences Quantitative Biology::Populations and Evolution Selection Genetic Evolutionary dynamics Quantitative Biology - Populations and Evolution 030304 developmental biology 0303 health sciences Natural selection Fundamental theorem Models Genetic Applied Mathematics Populations and Evolution (q-bio.PE) Agricultural and Biological Sciences (miscellaneous) Adaptation Physiological Biological Evolution Nonlinear Sciences - Adaptation and Self-Organizing Systems FOS: Biological sciences Modeling and Simulation System parameters Darwinism Genetic Fitness Adaptation and Self-Organizing Systems (nlin.AO) Mathematical economics
Zdroj:	Journal of mathematical biology. 82(3)
ISSN:	1432-1416
Popis:	In this paper, we discuss the fitness landscape evolution of permanent replicator systems using a hypothesis that the specific time of evolutionary adaptation of the system parameters is much slower than the time of internal evolutionary dynamics. In other words, we suppose that the extreme principle of Darwinian evolution based the Fisher's fundamental theorem of natural selection is valid for the steady-states. Various cases of the evolutionary adaptation for permanent replicator system are considered. 31 page, 32 figures
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c9d173bc554ba7ac73da1d9311be999 https://pubmed.ncbi.nlm.nih.gov/33544189 Zobrazit plný text záznamu Full text from SpringerLink