<p>The evolution of mutation rates in the explicit fitness landscape with a valley size of three is shown for several values of Π, as indicated by the colored key. Each curve shows the average of 20 runs; the adjacent bands represent±1 s.e.m. The value of <i>U<sub>opt</sub></i> was determined in previous experiments (see text). The rate of approach toward the evolutionarily stable mutation rate depends on Π, but the equilibrium value itself does not.</p
The most consistent result in more than two decades of experimental evolution is that the fitness of...
International audienceThe most consistent result in more than two decades of experimental evolution ...
It has been shown that evolutionary computation methods are influenced not only by the fitness funct...
The rate of mutation is central to evolution. Mutations are required for adaptation, yet most mutati...
We examined the optimum mutation rate the fitness peak randomly disappears and reappears at a distan...
<p>With the fitness landscapes shown, the first few mutations have a negligible effect on fitness un...
Evolutionary algorithms can be used to solve complex optimization tasks. However, adequate parameter...
Evolutionary algorithms can be used to solve complex optimization tasks. However, adequate parameter...
How fast does a population evolve from one fitness peak to another? We study the dynamics of evolvin...
Populations of individuals exist in a wide range of sizes, from billions of microorganisms to fewer ...
Populations of individuals exist in a wide range of sizes, from billions of microorganisms to fewer ...
<p>(A) Evolution of average log-fitness±1 s.e.m. for treatments with the mutation rate fixed at <i>U...
The role of mutation rate in optimizing key features of evolutionary dynamics has recently been inve...
Natural selection is commonly assumed to act on extensive standing genetic variation. Yet, accumulat...
We examine a simple form of the evolution of evolvability---the evolution of mutation rates---in a ...
The most consistent result in more than two decades of experimental evolution is that the fitness of...
International audienceThe most consistent result in more than two decades of experimental evolution ...
It has been shown that evolutionary computation methods are influenced not only by the fitness funct...
The rate of mutation is central to evolution. Mutations are required for adaptation, yet most mutati...
We examined the optimum mutation rate the fitness peak randomly disappears and reappears at a distan...
<p>With the fitness landscapes shown, the first few mutations have a negligible effect on fitness un...
Evolutionary algorithms can be used to solve complex optimization tasks. However, adequate parameter...
Evolutionary algorithms can be used to solve complex optimization tasks. However, adequate parameter...
How fast does a population evolve from one fitness peak to another? We study the dynamics of evolvin...
Populations of individuals exist in a wide range of sizes, from billions of microorganisms to fewer ...
Populations of individuals exist in a wide range of sizes, from billions of microorganisms to fewer ...
<p>(A) Evolution of average log-fitness±1 s.e.m. for treatments with the mutation rate fixed at <i>U...
The role of mutation rate in optimizing key features of evolutionary dynamics has recently been inve...
Natural selection is commonly assumed to act on extensive standing genetic variation. Yet, accumulat...
We examine a simple form of the evolution of evolvability---the evolution of mutation rates---in a ...
The most consistent result in more than two decades of experimental evolution is that the fitness of...
International audienceThe most consistent result in more than two decades of experimental evolution ...
It has been shown that evolutionary computation methods are influenced not only by the fitness funct...