Numerical-node building block analysis of genetic programming with simplification

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Numerical-node building block analysis of genetic programming with simplification

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Genetic And Evolutionary Computation Conference archive
Proceedings of the 9th annual conference on Genetic and evolutionary computation table of contents

London, England

POSTER SESSION: Genetic programming: posters table of contents

Pages: 1761 - 1761

Year of Publication: 2007

ISBN:978-1-59593-697-4

Authors

Phillip Lee-Ming Wong	Victoria University of Wellington, Wellington, New Zealand
Mengjie Zhang	Victoria University of Wellington, Wellington, New Zealand

Sponsors

SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 2, Downloads (12 Months): 30, Citation Count: 0

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ABSTRACT

This paper investigates the effects on building blocks of using online simplification in a GP system. Numerical nodes are tracked through individual runs to observe their behaviour. Results show that simplification disrupts building blocks early on, but also creates new building blocks.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Terence Soule and James A. Foster and John Dickinson, Code Growth in Genetic Programming, in Genetic Programming 1996, pages 215--223, MIT Press.
	2	Phillip Wong , Mengjie Zhang, Algebraic simplification of GP programs during evolution, Proceedings of the 8th annual conference on Genetic and evolutionary computation, July 08-12, 2006, Seattle, Washington, USA [doi>10.1145/1143997.1144156]