DocumentCode
3285537
Title
Solving the even-n-parity problems using Best SubTree Genetic Programming
Author
Muntean, Oana ; Diosan, L. ; Oltean, Mihai
Author_Institution
Babes-Bolyai Univ., Cluj-Napoca
fYear
2007
fDate
5-8 Aug. 2007
Firstpage
511
Lastpage
518
Abstract
Best subtree genetic programming (BSTGP) is a special genetic programming (GP) variant whose aim is to offer more possibilities, for selecting the solution, compared to standard GP. In the case of BSTGP the best subtree is chosen for proving the solution. This is different from standard GP where the solution was given by the entire tree. In this paper we apply BSTGP for designing digital circuits for the even-n-parity problem. Numerical results show that BSTGP can improve GP search in terms of success rate and computational effort.
Keywords
digital circuits; genetic algorithms; logic design; trees (mathematics); digital circuit design; even-n-parity problem; subtree genetic programming; Adaptive systems; Biological cells; Boolean functions; Computer science; Digital circuits; Genetic programming; Humans; Mathematics; NASA; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Adaptive Hardware and Systems, 2007. AHS 2007. Second NASA/ESA Conference on
Conference_Location
Edinburgh
Print_ISBN
978-0-7695-2866-3
Type
conf
DOI
10.1109/AHS.2007.99
Filename
4291961
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