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
Cite as:
IUPAC. Compendium of Chemical Terminology, 2nd ed. (the "Gold Book"). Compiled by
A. D. McNaught and A. Wilkinson. Blackwell Scientific Publications, Oxford (1997).
XML on-line corrected version: http://goldbook.iupac.org (2006-) created by M. Nic,
J. Jirat, B. Kosata; updates compiled by A. Jenkins. ISBN 0-9678550-9-8.
https://doi.org/10.1351/goldbook.
in biotechnology
