Binomics: Where Metagenomics meets the Binary World
Inman R. Harvey, Nicholas Tomko · 2010
Artificial Life and Evolutionary Computation studies have until now failed to model the symbiotic evaluation methods and the extensive amounts of horizontal gene transfer that are starting to be recognized in recent Metagenomic approaches to understanding microbial populations. Examples can be seen, in Learning Classifier Systems, and the SANE algorithm, of symbiotic evaluations; the Microbial Genetic Algorithm (GA) introduced horizontal gene transfer. Here for the first time these two are brought together in the Binomic GA, which is shown to perform well in a series of trials. It is proposed that Binomics, defined as computational algorithms inspired by Metagenomic studies, forms a potentially fruitful field of study waiting to be investigated.