- author = "John R. Koza and Martin A. Keane and Matthew J. Streeter",
- title = "Evolving Inventions",
- journal = "Scientific American",
- year = "2003",
- volume = "288",
- number = "2",
- pages = "52--59",
- month = feb,
- keywords = "genetic algorithms, genetic programming",
- ISBN = "0036-8733",
-
URL = "
https://www.scientificamerican.com/article/evolving-inventions/",
- broken = "http://www.sciam.com/article.cfm?articleID=00073FCE-F36F-1E19-8B3B809EC588EEDF",
-
bib_url = "https://ftp.math.utah.edu/pub/tex/bib/idx/sciam2000/288/2/52-59.html",
-
DOI = "
10.1038/scientificamerican0203-52",
-
abstract = "Computer programs that function via Darwinian
evolution are creating inventions that are novel and
useful enough to be patented.
Evolution is an immensely powerful creative process. From the intricate biochemistry of individual cells to the elaborate structure of the human brain, it has produced wonders of unimaginable complexity. Evolution achieves these feats with a few simple processes--mutation, sexual recombination and natural selection--which it iterates for many generations. Now computer programmers are harnessing software versions of these same processes to achieve machine intelligence. Called genetic programming, this technique has designed computer programs and electronic circuits that perform specified functions. .....",
-
notes = "Broken
http://groups.yahoo.com/neo/groups/genetic_programming/conversations/messages/6323
Also known as \cite{Koza:2003:ITE}
PMID: 12561458",
