NDLI: Constant versus variable arity operators in genetic programming

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Constant versus variable arity operators in genetic programming

Content Provider	ACM Digital Library
Author	Soule, Terence McMullin, Michael
Abstract	In this paper we compare typical variable arity operators to constant arity operators in which extraneous branches are treated as no-ops. We hypothesized that the consistent arity implementation would perform poorer than the variable arity implementation, due to a large amount of non-productive changes experienced during the early life of a consistent arity individual. Contrary to the expected result, both algorithms performed nearly identically. The consistent arity population developed a better average population faster, indicating that it would be a better option for tasks requiring many options for success. The variable arity population developed much smaller individuals on average, taking up much less space. This may be partly due to the large proportion of arity one operators in the operator set. However, a comparison of the execution times produced surprisingly mixed results, with the variable arity approach sometime taking significantly more time despite producing significantly smaller trees.
Starting Page	987
Ending Page	988
Page Count	2
File Format	PDF
ISBN	9781450300728
DOI	10.1145/1830483.1830663
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-07-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Operators Arity Genetic programming
Content Type	Text
Resource Type	Article

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