In our work we are using the genetic programming approach in grammatical inference.
Aiming at improving this situation, this paper describes the development of an intelligent approach by using the Genetic Programming (abbreviated as GP) method.
The microsatellites and SNPs were placed on the rainbow trout genetic map using the genetic linkage mapping programs MULTIMAP [ 59] and CRI-MAP [ 60].
The genetic programming system used is a patented system [ 15] and adapted for use in bio-classifier problems such as that described here.
An evolutionary computation - based design/optimisation approach using the Cartesian Genetic Programming is proposed for non-linear continuous-time process control.
The Genetic Programming algorithm uses a "fitness function" to determine which evolved programs survive and reproduce.
To accomplish this task, we guide the genetic programming process using a context-free grammar and we encode indirectly the neural logic networks into the genetic programming individuals.
Recently, we developed a combinatorial virtual library screening (CVLS) approach using the genetic algorithm-based automated docking program GOLD and a library of 6859 heparin hexasaccharide sequences.
This selection program uses the genetic diversity of the species by creating hybrids between the genotypes of two genetic groups: Congolese from central Africa and Guinean from western Africa.
The fit values ranged from 62 to 8. The hit compounds were also docked using the Genetic Optimisation for Ligand Docking (GOLD) program 12 in standard parameter mode into the defined annexin A2 binding pocket of the S100A10 receptor.
