%0 Conference Paper %1 essam:2001:acpfgp %A Essam, Daryl %A McKay, R. I. Bob %B Proceedings of the 2001 Congress on Evolutionary Computation CEC2001 %C COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea %D 2001 %I IEEE Press %K Evaluation Fitness Functions, Partial algorithms, genetic programming, %P 895--901 %R doi:10.1109/CEC.2001.934285 %T Adaptive Control of Partial Functions in Genetic Programming %U http://www.cs.adfa.edu.au/~rim/PAPERS/CEC01final.pdf %X The paper investigates the use of partial functions in genetic programming. Previous work (R.I. McKay, 2000), has shown that the convergent behaviour of populations of partial functions is very similar to that of populations of total functions. However the convergence rates of populations of partial functions have been slower. The results presented demonstrate a significant improvement in the rate of convergence of populations of partial functions, and indicate that partial functions represent a realistic alternative to total functions for a range of problems %@ 0-7803-6658-1

@inproceedings{essam:2001:acpfgp, abstract = {The paper investigates the use of partial functions in genetic programming. Previous work (R.I. McKay, 2000), has shown that the convergent behaviour of populations of partial functions is very similar to that of populations of total functions. However the convergence rates of populations of partial functions have been slower. The results presented demonstrate a significant improvement in the rate of convergence of populations of partial functions, and indicate that partial functions represent a realistic alternative to total functions for a range of problems}, added-at = {2008-06-19T17:35:00.000+0200}, address = {COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea}, author = {Essam, Daryl and McKay, R. I. Bob}, biburl = {https://www.bibsonomy.org/bibtex/2270b11998ce972187cf8843e2f492de2/brazovayeye}, booktitle = {Proceedings of the 2001 Congress on Evolutionary Computation CEC2001}, doi = {doi:10.1109/CEC.2001.934285}, interhash = {ff353ec086fa29e93a2ac5e19476b234}, intrahash = {270b11998ce972187cf8843e2f492de2}, isbn = {0-7803-6658-1}, keywords = {Evaluation Fitness Functions, Partial algorithms, genetic programming,}, month = {27-30 May}, notes = {CEC-2001 - A joint meeting of the IEEE, Evolutionary Programming Society, Galesia, and the IEE. IEEE Catalog Number = 01TH8546C, Library of Congress Number = . Convergence of populations of partial functions. recursion list membership, 6-multiplexor, 11-mux. undef, DCTG-GP cf. \cite{ross:1999:LGPDCTG} fitness sharing mitigated by non-undef. {"}A partial function is a function whose value is not defined for some argument values{"}, ie {"}undef{"}. Tree GP. Grammar DCTG-GP. Infinite recursion prevented by a depth limit of 20.}, organisation = {IEEE Neural Network Council (NNC), Evolutionary Programming Society (EPS), Institution of Electrical Engineers (IEE)}, pages = {895--901}, publisher = {IEEE Press}, publisher_address = {445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA}, size = {7 pages}, timestamp = {2008-06-19T17:39:18.000+0200}, title = {Adaptive Control of Partial Functions in Genetic Programming}, url = {http://www.cs.adfa.edu.au/~rim/PAPERS/CEC01final.pdf}, year = 2001 }