Title :
ME-CGP: Multi Expression Cartesian Genetic Programming
Author :
Cattani, Phil T. ; Johnson, Colin G.
Author_Institution :
Sch. of Comput., Univ. of Kent, Canterbury, UK
Abstract :
Cartesian Genetic Programming (CGP) is a form of Genetic Programming that uses directed graphs to represent programs. In this paper we propose a way of structuring a CGP algorithm to make use of the multiple phenotypes which are implicitly encoded in a genome string. We show that this leads to a large increase in efficiency compared with standard CGP where genomes are translated into only one phenotype. We call this method Multi Expression CGP (ME-CGP), based on Mihai Oltean´s work on Multi Expression Programming using linear GP.
Keywords :
genetic algorithms; graph theory; CGP; ME-CGP; directed graphs; multi expression cartesian genetic programming; multi expression programming; multiple phenotypes; Aggregates; Bioinformatics; Genetic programming; Genomics; Multiplexing; Programming; Testing;
Conference_Titel :
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6909-3
DOI :
10.1109/CEC.2010.5586478