Comparing Tree Depth Limits and Resource-Limited GP

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{silva:2005:CEC,

• author = "Sara Silva and Ernesto Costa",
• title = "Comparing Tree Depth Limits and Resource-Limited GP",
• booktitle = "Proceedings of the 2005 IEEE Congress on Evolutionary Computation",
• year = "2005",
• editor = "David Corne and Zbigniew Michalewicz and Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and Garrison Greenwood and Tan Kay Chen and Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and Jennifier Willies and Juan J. Merelo Guervos and Eugene Eberbach and Bob McKay and Alastair Channon and Ashutosh Tiwari and L. Gwenn Volkert and Dan Ashlock and Marc Schoenauer",
• volume = "1",
• pages = "920--927",
• address = "Edinburgh, UK",
• publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
• month = "2-5 " # sep,
• organisation = "IEEE Computational Intelligence Society, Institution of Electrical Engineers (IEE), Evolutionary Programming Society (EPS)",
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "0-7803-9363-5",
• DOI = "doi:10.1109/CEC.2005.1554781",
• abstract = "In this paper we compare two different approaches for controlling bloat in genetic programming, tree depth limits and resource-limited GP. Tree depth limits operate at the individual level, avoiding excessive code growth by imposing a maximum depth to each individual. Resource-limited GP is a new technique that operates at the population level, limiting the total amount of resources the entire population can use. We compare their dynamics and performance on three problems: symbolic regression, even parity, and artificial ant. The results suggest that resource-limited GP is superior to tree depth limits, but we question this superiority and discuss possible ways of combining the strengths of both approaches, to further improve the results.",
• notes = "CEC2005 - A joint meeting of the IEEE, the IEE, and the EPS.",

}

Genetic Programming entries for Sara Silva Ernesto Costa

Citations