%0 Conference Paper %1 corney:1999:NSMUGP %A Corney, David %A Parmee, Ian %B Proceedings of the Genetic and Evolutionary Computation Conference %C Orlando, Florida, USA %D 1999 %E Banzhaf, Wolfgang %E Daida, Jason %E Eiben, Agoston E. %E Garzon, Max H. %E Honavar, Vasant %E Jakiela, Mark %E Smith, Robert E. %I Morgan Kaufmann %K algorithms, and evolvable genetic hardware, papers poster programming %P 1230 %T N-Dimensional Surface Mapping Using Genetic Programming %U http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GP-424.ps %V 2 %@ 1-55860-611-4

@inproceedings{corney:1999:NSMUGP, added-at = {2008-06-19T17:35:00.000+0200}, address = {Orlando, Florida, USA}, author = {Corney, David and Parmee, Ian}, biburl = {https://www.bibsonomy.org/bibtex/270f2fca43fcf7d5f38ea30bf3ad6f242/brazovayeye}, booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference}, editor = {Banzhaf, Wolfgang and Daida, Jason and Eiben, Agoston E. and Garzon, Max H. and Honavar, Vasant and Jakiela, Mark and Smith, Robert E.}, interhash = {fb2eb36e8a50988c3e37af6461a060ff}, intrahash = {70f2fca43fcf7d5f38ea30bf3ad6f242}, isbn = {1-55860-611-4}, keywords = {algorithms, and evolvable genetic hardware, papers poster programming}, month = {13-17 July}, notes = {GECCO-99 A joint meeting of the eighth international conference on genetic algorithms (ICGA-99) and the fourth annual genetic programming conference (GP-99) MSc Thesis -- text from http://www.cs.ucl.ac.uk/staff/D.Corney/MSc_thesis_abstract.html N-Dimensional Surface Mapping Using Genetic Programming This work introduces an extension to Genetic Programming (GP) known as {"}GP-UDF{"} which uses multiple User-Defined Functions (UDFs) to solve surface-mapping problems. These UDFs are high-level primitives, such as hills and polynomials, which compress the information required to map a surface. UDFs can be used to add real-world knowledge to a genetic search, and also to analyse and classify high-dimensional surfaces. GP-UDF also produces more readable solutions than standard GP. The results show that, for the problems considered, GP-UDF does not produce more accurate models than standard GP. However, the results also suggest that GP-UDF could be used as a {"}landscape classifier{"}, a tool for analysing high-dimensional surfaces to identify characteristic features. An important consideration in systems identification is the transparency (i.e. readability), of a model. GP-UDF is compared with neural networks (both MLP and RBF networks), and is shown to be far more readable, with the cost of being less accurate.}, pages = 1230, publisher = {Morgan Kaufmann}, publisher_address = {San Francisco, CA 94104, USA}, timestamp = {2008-06-19T17:38:07.000+0200}, title = {{N}-Dimensional Surface Mapping Using Genetic Programming}, url = {http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GP-424.ps}, volume = 2, year = 1999 }