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
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;
Conference_Titel :
Adaptive Hardware and Systems, 2007. AHS 2007. Second NASA/ESA Conference on
Conference_Location :
Edinburgh
Print_ISBN :
978-0-7695-2866-3
DOI :
10.1109/AHS.2007.99