<p>(A) Comparison of the fitness of the genomes evolved using VEGA against the fitness of the majority rule for 5, 7 and 11. It is visually apparent that for the evolved genomes are more robust against communication noise than the majority rule. (B) Average updated state of an agent with a high fitness evolved genome with as a function of the number of neighbors in state one for . The red circles show the updated state of the agent when the initial state is one, and the red dashed line shows results for the majority rule for comparison. The empty circles show the updated state of the agent when the initial state is zero, and the black full line shows results for the majority rule. (C) Same as b, but for . It is visually apparent that the ...
<div><p>The ability of organisms to adapt and persist in the face of environmental change is accepte...
Robustness is the invariance of phenotypes in the face of perturbation. The robustness of phenotypes...
It has been shown that evolutionary computation methods are influenced not only by the fitness funct...
<p>(A) Highest fitness in the population and (B) noise magnitude as a function generation number. W...
<p>The horizontal axis shows mutational robustness <i>R<sub>μ</sub>,</i> which is the fraction of a ...
<p>Each square represents a set of simulations with identical gene expression noise level and mutati...
<p>Changes in the fitness value (ordinate) under mutations (red ) or noise (blue ), for evolved netw...
Abstract We study the evolution of robustness in digital organisms adapting to a high mutation rate....
Stochastic noise in gene expression causes variation in the development of phenotypes, making such n...
<p>(A) Change in robustness, measured as the difference of the mean phenotypic distances between unp...
Gene regulatory networks (GRNs) are complex systems in which many genes regulate mutually to adapt t...
<p>(a) Mutation rates, genome size and fitness of the last common ancestors for the different mutati...
Understanding the effect of population size on the key parameters of evolution is particularly impor...
Adaptation by natural selection depends on the rates, effects and interactions of many mutations, ma...
Understanding the effect of population size on the key parameters of evolution is particularly impor...
<div><p>The ability of organisms to adapt and persist in the face of environmental change is accepte...
Robustness is the invariance of phenotypes in the face of perturbation. The robustness of phenotypes...
It has been shown that evolutionary computation methods are influenced not only by the fitness funct...
<p>(A) Highest fitness in the population and (B) noise magnitude as a function generation number. W...
<p>The horizontal axis shows mutational robustness <i>R<sub>μ</sub>,</i> which is the fraction of a ...
<p>Each square represents a set of simulations with identical gene expression noise level and mutati...
<p>Changes in the fitness value (ordinate) under mutations (red ) or noise (blue ), for evolved netw...
Abstract We study the evolution of robustness in digital organisms adapting to a high mutation rate....
Stochastic noise in gene expression causes variation in the development of phenotypes, making such n...
<p>(A) Change in robustness, measured as the difference of the mean phenotypic distances between unp...
Gene regulatory networks (GRNs) are complex systems in which many genes regulate mutually to adapt t...
<p>(a) Mutation rates, genome size and fitness of the last common ancestors for the different mutati...
Understanding the effect of population size on the key parameters of evolution is particularly impor...
Adaptation by natural selection depends on the rates, effects and interactions of many mutations, ma...
Understanding the effect of population size on the key parameters of evolution is particularly impor...
<div><p>The ability of organisms to adapt and persist in the face of environmental change is accepte...
Robustness is the invariance of phenotypes in the face of perturbation. The robustness of phenotypes...
It has been shown that evolutionary computation methods are influenced not only by the fitness funct...