DocumentCode
755847
Title
Evolutionary computing: the rise of electronic breeding
Author
Hedberg, Sara Reese
Volume
20
Issue
6
fYear
2005
Firstpage
12
Lastpage
15
Abstract
GAs and their relations, which fall under the umbrella term evolutionary computing, are being harnessed to optimize designs of all sorts. GAs mimics the mechanisms of biological evolution. Populations of individuals evolve by means of reproduction, inheritance, mutation, natural selection, and recombination or crossover (two organisms swap a portion of their genetic code). The result is computational methods that build a population of individuals or designs based on a set of criteria and constraints.
Keywords
genetic algorithms; biological evolution; electronic breeding; evolutionary computing; genetic algorithms; Algorithm design and analysis; Application software; Data acquisition; Design engineering; Design optimization; Genetic algorithms; Humans; Intelligent systems; Software design; USA Councils; evolutionary computing; genetic algorithms; genetic programming;
fLanguage
English
Journal_Title
Intelligent Systems, IEEE
Publisher
ieee
ISSN
1541-1672
Type
jour
DOI
10.1109/MIS.2005.104
Filename
1556509
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