Background: Genomic functional information is valuable for biomedical research. However, such information frequently needs to be extracted from the scientific literature and struc...
The most controversial part of genetic programming is its highly disruptive and potentially innovative subtree crossover operator. The clearest problem with the crossover operator...
Genetic Algorithms (GAs) are very popular optimization tool, although efficient applications of GAs requires users have problem with setting their parameters and used genetic ope...
Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
In this paper, we propose a new parallel genetic alge rithm (GA), called Extended Distributed Genetic Algorithm (EDGA), for channel routing problem. The EDGA combines the advantag...