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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks
ISBN:
9780791802953
No. of Pages:
636
Publisher:
ASME Press
Publication date:
2009
eBook Chapter
24 Logic Function Induction with the Blender Algorithm Using Function Stacks
By
Daniel Ashlock
,
Daniel Ashlock
Mathematics and Statistics
University of Guelph
Guelph, Ontario,
; dashlock@uoguelph.caCanada
, N1G 2W1
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Kenneth M. Bryden
Kenneth M. Bryden
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Page Count:
8
-
Published:2009
Citation
Ashlock, D, McCorkle, D, & Bryden, KM. "Logic Function Induction with the Blender Algorithm Using Function Stacks." Intelligent Engineering Systems through Artificial Neural Networks. Ed. Dagli, CH, Bryden, KM, Corns, SM, Gen, M, Tumer, K, & Süer, G. ASME Press, 2009.
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This paper applies two techniques, hybridization and small population effects, to the problem of logic function induction. It also uses an efficient representation for genetic programming called a function stack. Function stacks are a directed acyclic graph representation used in place of the more common tree-structured representation. This study is the second exploring an algorithm for evolutionary computation called the blender algorithm which performs hybridization of many small populations. The blender algorithm is tested on the 3 and 4 variable parity problems. Confirming and sharpening earlier results on the use of small population sizes for the parity problem, it is...
Abstract
1 Introduction
2 The Representation
3 Experimental Design
4 Results and Discussion
Acknowledgments
References
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