The first experiments with genetic algorithms generating applications did so in BASIC, C, and other human-readable languages. While these programs nearly worked, there were far too many ...

Cartesian Genetic Programming (CGP) is a robust evolutionary algorithm that represents computational solutions as directed graphs, incorporating redundant genes to enhance the efficiency of its ...

Genetic programming uses mutation and replication to produce algorithms that represent the "survival of the fittest." While genetic algorithms yield numbers, genetic programs yield ever-improving ...

The term genetic algorithm is used by computer science and operations researchers to describe a partial search algorithm inspired by Darwin’s Theory of Natural Evolution. In this case, Barfar and ...

The first genetic admixture event casts such deeper shadows over the subsequent interbreeding of Neanderthals and Homo sapiens 50,000 years ago that contributed some 2% of the genome to non-Africans.

An AI algorithm based on the genomic database was then used to analyse the DNA of 454,000 human participants in the UK Biobank project, with the results showing “greatly improved genetic risk ...

A. Bolat, Models and a Genetic Algorithm for Static Aircraft-Gate Assignment Problem, The Journal of the Operational Research Society, Vol. 52, No. 10 (Oct., 2001), pp. 1107-1120 ...