Genetic algorithms as function optimizers

Technical Report

Public Deposited

Citeable URL: https://ir.library.oregonstate.edu/concern/technical_reports/3r075330s

Descriptions

Attribute Name	Values
Creator	Langford, Bill
Abstract	We survey the use of genetic algorithms in function optimization. We find that there are two distinct camps. Holland's camp seems to be interested in artificial intelligence uses of genetic algorithms and seems to have made only a few attempts at function optimization. Rechenberg's camp has concentrated on the optimization of real-valued functions. The two camps use different methods and it seems difficult to compare their results. We include an annotated bibliography of some 70 items.
Resource Type	Technical Report
Date Issued	1988
Academic Affiliation	Computer Science
Series	Technical report (Oregon State University. Department of Computer Science)
Rights Statement	In Copyright
Publisher	Oregon State University. Department of Computer Science
Peer Reviewed	No
Language	English [eng]

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