Genetic Algorithms: Principles of Natural Selection Applied to Computation
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @Article{Forrest13081993,
-
author = "Stephanie Forrest",
-
title = "Genetic Algorithms: Principles of Natural Selection
Applied to Computation",
-
journal = "Science",
-
year = "1993",
-
volume = "261",
-
number = "5123",
-
pages = "872--878",
-
month = "13 " # aug,
-
keywords = "genetic algorithms, genetic programming, automatic
programming",
-
URL = "http://www.sciencemag.org/content/261/5123/872.abstract",
-
eprint = "http://www.sciencemag.org/content/261/5123/872.full.pdf",
-
DOI = "doi:10.1126/science.8346439",
-
size = "8 pages",
-
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 solving problems and
modelling evolutionary systems. With various mapping
techniques and an appropriate measure of fitness, a
genetic algorithm can be tailored to evolve a solution
for many types of problems, including optimisation of a
function of determination of the proper order of a
sequence. Mathematical analysis has begun to explain
how genetic algorithms work and how best to use them.
Recently, genetic algorithms have been used to model
several natural evolutionary systems, including immune
systems.",
-
notes = "Koza GP Lisp s-expression page 875
PMID: 8346439",
- }
Genetic Programming entries for
Stephanie Forrest
Citations