Fitness landscape adaptation in open replicator systems with competition: application to cancer therapy

11/29/2021
by   Igor Samokhin, et al.
0

This study focuses on open quasispecies systems with competition and death flow, described by modified Eigen and Crow-Kimura models. We examine the evolutionary adaptation process as a reaction to changes in rates. One of the fundamental assumptions, which forms the basis of our mathematical model, is the existence of two different timescales: internal dynamics time and evolutionary time. The latter is much slower and exhibits significant adaptation events. These conditions allow us to represent the whole evolutionary process through a series of steady-state equations, where all the elements continuously depend on the evolutionary parameter.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/16/2002

Neutrality: A Necessity for Self-Adaptation

Self-adaptation is used in all main paradigms of evolutionary computatio...
research
03/27/2019

A Simple Haploid-Diploid Evolutionary Algorithm

It has recently been suggested that evolution exploits a form of fitness...
research
02/17/2022

Plasticity and evolvability under environmental variability: the joint role of fitness-based selection and niche-limited competition

The diversity and quality of natural systems have been a puzzle and insp...
research
10/02/2022

Natural Gradient Ascent in Evolutionary Games

We study evolutionary games with a continuous trait space in which repli...
research
06/05/2019

Dynamic monopolistic competition with sluggish adjustment of entry and exit

We study a steady state of a free entry oligopoly with differentiated go...
research
08/23/2013

Complexity of evolutionary equilibria in static fitness landscapes

A fitness landscape is a genetic space -- with two genotypes adjacent if...
research
05/23/2017

An evolutionary strategy for DeltaE - E identification

In this article we present an automatic method for charge and mass ident...

Please sign up or login with your details

Forgot password? Click here to reset