A genetic algorithm is a optimization algorithm based on the
mechanisms of Darwinian evolution which uses random
mutation,
crossover and selection procedures to breed better models or solutions
from an originally random starting population or sample.
Source:
PAC, 1997, 69, 1137
(Glossary of terms used in computational drug design (IUPAC Recommendations 1997))
on page 1144