Fitness Uniform Selection to Preserve Genetic Diversity
In evolutionary algorithms, the fitness of a population increases with time by mutating and recombining individuals and by a biased
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In evolutionary algorithms, the fitness of a population increases with time by mutating and recombining individuals and by a biased
We examine the dynamics of an age-structured population model in which the life expectancy of an offspring may be mutated
We investigate a selection-mutation model for the dynamics of technological innovation,a special case of reaction-diffusion equations. Although mutations are assumed
We analytically study the dynamics of evolving populations that exhibit metastability on the level of phenotype or fitness. In constant
The relationships which characterise the outcomes of the interactions between firms in the economy appear to follow power law behaviour.
In evolutionary algorithms a critical parameter that must be tuned is that of selection pressure. If it is set too
We introduce a new model of evolution on a fitness landscape possessing a tunable degree of neutrality. The model allows
Adapting a simple biological model, we study the effects of control on the market. Companies are depicted as sites on
This paper presents two different efficiency-enhancement techniques for probabilistic model building genetic algorithms. The first technique proposes the use of
We show how concepts from statistical physics, such as order parameter, thermodynamic limit, and quantum phase transition, translate into biological
Consider the following evolution model, proposed in \cite{BS} by Bak and Sneppen. Put $N$ vertices on a circle, spaced evenly.
Epochal dynamics, in which long periods of stasis in an evolving population are punctuated by a sudden burst of change,
A new mechanism leading to scale-free networks is proposed in this letter. It is shown that in many cases of
Evolutionary dynamics in an uncorrelated rugged fitness landscape is studied in the framework of Eigen's molecular quasispecies model. We consider
We analyze the population dynamics of a broad class of fitness functions that exhibit epochal evolution---a dynamical behavior, commonly observed
We compare the speed with which a sexual, respectively an asexual, population is able to respond to a biased selective
We study the information transfer model for biological evolution with several kinds of fitness function. The system is stimulated to
Genetic fitness optimization using small populations or small population updates across generations generally suffers from randomly diverging evolutions. We propose
We study here the Bak and Sneppen model, a prototype model for the study of Self-Organized Criticality. In this model
The rate at which nodes in a network increase their connectivity depends on their fitness to compete for links. For
A variety of selection-mutation models for DNA (or RNA) sequences, well known in molecular evolution, can be translated into a
One of the key problems related to the Bak-Sneppen evolution model on the circle is to compute the limit distribution
Graph clustering is the problem of identifying sparsely connected dense subgraphs (clusters) in a given graph. Proposed clustering algorithms usually
Epochal dynamics, in which long periods of stasis in population fitness are punctuated by sudden innovations, is a common behavior