- author = "Bill C. White and Joshua C. Gilbert and David M. Reif and Jason H. Moore",
- title = "A Statistical Comparison of Grammatical Evolution Strategies in the Domain of Human Genetics",
- 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 = "491--497",
- 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, PSO, grammatical evolution",
- ISBN = "0-7803-9363-5",
-
DOI = "
doi:10.1109/CEC.2005.1554723",
- abstract = "Detecting and characterising genetic predictors of human disease susceptibility is an important goal in human genetics. New chip-based technologies are available that facilitate the measurement of thousands of DNA sequence variations across the human genome. Biologically-inspired stochastic search algorithms are expected to play an important role in the analysis of these high-dimensional datasets. We simulated datasets with up to 6000 attributes using two different genetic models and statistically compared the performance of grammatical evolution, grammatical swarm, and random search for building symbolic discriminant functions. We found no statistical difference among search algorithms within this specific domain.",
-
notes = "CEC2005 - A joint meeting of the IEEE, the IEE, and
the EPS.
also appears at pages 676-682",
