A formalism is presented for modelling the evolutionary dynamics of a population of gene sequences. The formalism was originally developed for describing genetic algorithms. In this paper the formalism is elaborated by considering the evolution of an ensemble of populations. This allows the evolution to be modelled more accurately. To illustrate the formalism the problem of a population of gene sequences evolving in a multiplicative fitness landscape is considered. A comparison with simulations is made and shows very good agreement. More complicated problems have already been investigated including sexual recombination and evolution in a multi-valleyed fitness landscape. These results will be briefly reviewed
An evolutionary algorithm was developed to investigate how the biological genetic code may have evol...
International audienceA simple model of a population of asexually reproducing individuals, evolving ...
142 pagesAdvancements in genome sequencing technology and the development of powerful evolutionary s...
A formalism is presented for modelling the evolutionary dynamics of a population of gene sequences. ...
A formalism is presented for modelling the evolutionary dynamics of a population of gene sequences. ...
A formalism for modelling the dynamics of genetic algorithms using methods from statistical physics,...
This thesis deals with mathematical models of Darwinian evolution in populations of simple living or...
Theoretical analysis of the dynamics of evolutionary algorithms is believed to be very important to ...
This thesis deals with mathematical models of Darwinian evolution in populations of simple living or...
AbstractThe theory of population genetics and evolutionary computation have been evolving separately...
Prediction of the evolutionary process is a long standing problem both in the theory of evolutionary...
This chapter proposes a new approach, wherein multiple populations are evolved on different landscap...
The time evolution of a simple model for crossover is discussed. A variant of this model with an imp...
This paper pursues the 'formal darwinism' project of Grafen, whose aim is to construct formal links ...
Written for researchers and postgraduate students with a background in physics or applied mathematic...
An evolutionary algorithm was developed to investigate how the biological genetic code may have evol...
International audienceA simple model of a population of asexually reproducing individuals, evolving ...
142 pagesAdvancements in genome sequencing technology and the development of powerful evolutionary s...
A formalism is presented for modelling the evolutionary dynamics of a population of gene sequences. ...
A formalism is presented for modelling the evolutionary dynamics of a population of gene sequences. ...
A formalism for modelling the dynamics of genetic algorithms using methods from statistical physics,...
This thesis deals with mathematical models of Darwinian evolution in populations of simple living or...
Theoretical analysis of the dynamics of evolutionary algorithms is believed to be very important to ...
This thesis deals with mathematical models of Darwinian evolution in populations of simple living or...
AbstractThe theory of population genetics and evolutionary computation have been evolving separately...
Prediction of the evolutionary process is a long standing problem both in the theory of evolutionary...
This chapter proposes a new approach, wherein multiple populations are evolved on different landscap...
The time evolution of a simple model for crossover is discussed. A variant of this model with an imp...
This paper pursues the 'formal darwinism' project of Grafen, whose aim is to construct formal links ...
Written for researchers and postgraduate students with a background in physics or applied mathematic...
An evolutionary algorithm was developed to investigate how the biological genetic code may have evol...
International audienceA simple model of a population of asexually reproducing individuals, evolving ...
142 pagesAdvancements in genome sequencing technology and the development of powerful evolutionary s...