- author = "Robin Harper and Alan Blair",
- title = "A Self-Selecting Crossover Operator",
- booktitle = "Proceedings of the 2006 IEEE Congress on Evolutionary Computation",
- year = "2006",
- editor = "Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas",
- pages = "5569--5576",
- address = "Vancouver",
- month = "16-21 " # jul,
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming, Grammatical Evolution",
- ISBN = "0-7803-9487-9",
-
URL = "
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.412.2946",
-
URL = "
http://www.cse.unsw.edu.au/~blair/pubs/2006HarperBlairSSCO.pdf",
-
DOI = "
10.1109/CEC.2006.1688475",
- size = "8 pages",
- abstract = "This paper compares the efficacy of different crossover operators for Grammatical Evolution across a typical numeric regression problem and a typical data classification problem. Grammatical Evolution is an extension of Genetic Programming, in that it is an algorithm for evolving complete programs in an arbitrary language. Each of the two main crossover operators struggles (for different reasons) to achieve 100percent correct solutions. A mechanism is proposed, allowing the evolutionary algorithm to self-select the type of crossover used and this is shown to improve the rate of generating 100percent successful solutions.",
-
notes = "WCCI 2006 - A joint meeting of the IEEE, the EPS, and
the IEE.
IEEE Catalog Number: 06TH8846D",
