- author = "Stuart W. Card and Chilukuri K. Mohan",
- title = "Information Theoretic Indicators of Fitness, Relevant Diversity \& Pairing Potential in Genetic Programming",
- 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 = "3",
- pages = "2545--2552",
- 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.2005.1555013",
- abstract = "Commonly used fitness measures, such as mean squared error, often fail to reward individuals whose presence in the population is necessary to explain substantial portions of the data variance. Diversity indicators are often arbitrary, may reflect diversity irrelevant to solving the problem, and are incommensurate with fitness measures. By contrast, information theoretic functionals are computable general indicators of fitness and diversity without these typical failings. We propose normalised mutual information, redundancy and synergy measures for genetic programming. We also propose selection for recombination and survival by {"}pairing potential{"} and {"}pair potential{"} estimation, and offer numerical examples as empirical support for theoretical claims.",
-
notes = "CEC2005 - A joint meeting of the IEEE, the IEE, and
the EPS.
Syracuse University 7417 S. Main St. P.O. Box 61 Newport, NY 13416",
