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Improving Evolvability through Generative RepresentationsOne of the main limitations of computer automated design systems is the representation used for encoding designs. Using computer programs as an analogy, representations can be thought of as having the properties of combination, control-flow and abstraction. Generative representations are those which have the ability to reuse elements in an encoding through either iteration, a form of control-flow, or abstraction. Here we argue that generative representations improve the evolvability of designs by capturing design dependencies in a way that makes them easier to change, and we support this with examples from two design substrates.
Document ID
20040086921
Acquisition Source
Ames Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Hornby, Gregory S.
(QSS Group, Inc. Moffett Field, CA, United States)
Date Acquired
August 21, 2013
Publication Date
January 1, 2004
Subject Category
Computer Systems
Meeting Information
Meeting: Genetic and Evolutionary COmputation Conference
Location: Seattle, WA
Country: United States
Start Date: June 26, 2004
End Date: June 30, 2004
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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