- author = "David Jackson",
- title = "Self-Adaptive Focusing of Evolutionary Effort in Hierarchical Genetic Programming",
- booktitle = "2009 IEEE Congress on Evolutionary Computation",
- year = "2009",
- editor = "Andy Tyrrell",
- pages = "1821--1828",
- address = "Trondheim, Norway",
- month = "18-21 " # may,
- organization = "IEEE Computational Intelligence Society",
- publisher = "IEEE Press",
- isbn13 = "978-1-4244-2959-2",
- file = "P462.pdf",
-
DOI = "
doi:10.1109/CEC.2009.4983162",
- size = "8 pages",
- abstract = "In an attempt to address the scaling up of genetic programming to handle complex problems, we have proposed a hierarchical approach in which programs are formed from independently evolved code fragments, each of which is responsible for handling a subset of the test input cases. Although this approach offers substantial performance advantages in comparison to more conventional systems, the programs it evolves exhibit some undesirable properties for certain problem domains. We therefore propose the introduction of a self adaptive mechanism that allows the system dynamically to focus evolutionary effort on the program components most in need. Experimentation reveals that not only does this technique lead to better-behaved programs, it also gives rise to further significant performance improvements.",
- keywords = "genetic algorithms, genetic programming",
-
notes = "even 4-parity, 5-parity, majority on, symbolic
regression 4x**4 -3x**3 +2x**2 -x. Refers to
\cite{roberts:2001:EuroGP}.
CEC 2009 - A joint meeting of the IEEE, the EPS and the IET. IEEE Catalog Number: CFP09ICE-CDR",
