Add to ORKGThe objectives of this research are to develop a predictive theory of the Breeder Genetic Algorithm ...
This thesis investigates the use of problem-specific knowledge to enhance a genetic algorithm approa...
AbstractThis paper presents stochastic models for two classes of Genetic Algorithms. We present impo...
http://deepblue.lib.umich.edu/bitstream/2027.42/3516/5/bap4107.0001.001.pdfhttp://deepblue.lib.umich...
http://deepblue.lib.umich.edu/bitstream/2027.42/35656/2/b1408471.0001.001.pdfhttp://deepblue.lib.umi...
Genetic algorithms are traditionally formulated as search procedures that make use of selection, cro...
http://deepblue.lib.umich.edu/bitstream/2027.42/3572/5/bab2694.0001.001.pdfhttp://deepblue.lib.umich...
Genetic algorithms are integral to a range of applications. They utilise Darwin’s theory of evolutio...
The genetic algorithm can be applied to selecting theoretical probability distributions so as to be ...
A formalism for modelling the dynamics of genetic algorithms using methods from statistical physics,...
Abstract — This paper presents a Markov model for the conver-gence of multi-parent genetic algorithm...
<p>The figure summarizes all the steps of the genetic algorithm during a single generation: 1) an in...
Recently, the PMBGA has been focused and well devel-oped. The PMBGA uses the statistical information...
Genetic algorithms provide an approach to learning that is based loosely on simulated evolution. Hyp...
[[sponsorship]]統計科學研究所[[note]]出版中(submitted);[SCI];有審查制度;具代表性[[note]]http://gateway.isiknowledge.com...
The objectives of this research are to develop a predictive theory of the Breeder Genetic Algorithm ...
This thesis investigates the use of problem-specific knowledge to enhance a genetic algorithm approa...
AbstractThis paper presents stochastic models for two classes of Genetic Algorithms. We present impo...
http://deepblue.lib.umich.edu/bitstream/2027.42/3516/5/bap4107.0001.001.pdfhttp://deepblue.lib.umich...
http://deepblue.lib.umich.edu/bitstream/2027.42/35656/2/b1408471.0001.001.pdfhttp://deepblue.lib.umi...
Genetic algorithms are traditionally formulated as search procedures that make use of selection, cro...
http://deepblue.lib.umich.edu/bitstream/2027.42/3572/5/bab2694.0001.001.pdfhttp://deepblue.lib.umich...
Genetic algorithms are integral to a range of applications. They utilise Darwin’s theory of evolutio...
The genetic algorithm can be applied to selecting theoretical probability distributions so as to be ...
A formalism for modelling the dynamics of genetic algorithms using methods from statistical physics,...
Abstract — This paper presents a Markov model for the conver-gence of multi-parent genetic algorithm...
<p>The figure summarizes all the steps of the genetic algorithm during a single generation: 1) an in...
Recently, the PMBGA has been focused and well devel-oped. The PMBGA uses the statistical information...
Genetic algorithms provide an approach to learning that is based loosely on simulated evolution. Hyp...
[[sponsorship]]統計科學研究所[[note]]出版中(submitted);[SCI];有審查制度;具代表性[[note]]http://gateway.isiknowledge.com...
The objectives of this research are to develop a predictive theory of the Breeder Genetic Algorithm ...
This thesis investigates the use of problem-specific knowledge to enhance a genetic algorithm approa...
AbstractThis paper presents stochastic models for two classes of Genetic Algorithms. We present impo...