- author = "Rodney Fry and Stephen L. Smith and Andy M. Tyrrell",
- title = "A Self-Adaptive Mate Selection Model for 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 = "2707--2714",
- 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.2005.1555034",
- abstract = "This paper documents new extensions to the selection model in genetic programming, designed to be analogous to the more complex behaviour of selection in natural evolution. Specifically, a negative assortative mating scheme is presented in conjunction with a model of psychological evolution, allowing the mating strategy to change throughout the evolutionary process. Results show that self-adaptive mate selection accelerates evolution for several well known test problems.",
-
notes = "CEC2005 - A joint meeting of the IEEE, the IEE, and
the EPS.
edit-distance, 4th and 7th order polynomials in one variable, exx+xpi, max problem
150 runs needed to find statistical effect.
",
