GENETIC ALGORITHMS - PRINCIPLES OF NATURAL-SELECTION APPLIED TO COMPUTATION

Authors
Citation
S. Forrest, GENETIC ALGORITHMS - PRINCIPLES OF NATURAL-SELECTION APPLIED TO COMPUTATION, Science, 261(5123), 1993, pp. 872-878
Citations number
63
Categorie Soggetti
Multidisciplinary Sciences
Journal title
ISSN journal
00368075
Volume
261
Issue
5123
Year of publication
1993
Pages
872 - 878
Database
ISI
SICI code
0036-8075(1993)261:5123<872:GA-PON>2.0.ZU;2-W
Abstract
A genetic algorithm is a form of evolution that occurs on a computer. Genetic algorithms are a search method that can be used for both solvi ng problems and modeling evolutionary systems. With various mapping te chniques and an appropriate measure of fitness, a genetic algorithm ca n be tailored to evolve a solution for many types of problems, includi ng optimization of a function or determination of the proper order of a sequence. Mathematical analysis has begun to explain how genetic alg orithms work and how best to use them. Recently, genetic algorithms ha ve been used to model several natural evolutionary systems, including immune systems.