- author = "Christian Igel and Kumar Chellapilla",
- title = "Investigating the Influence of Depth and Degree of Genotypic Change on Fitness in Genetic Programming",
- booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference",
- year = "1999",
- editor = "Wolfgang Banzhaf and Jason Daida and Agoston E. Eiben and Max H. Garzon and Vasant Honavar and Mark Jakiela and Robert E. Smith",
- volume = "2",
- pages = "1061--1068",
- address = "Orlando, Florida, USA",
- publisher_address = "San Francisco, CA 94104, USA",
- month = "13-17 " # jul,
- publisher = "Morgan Kaufmann",
- keywords = "genetic algorithms, genetic programming",
- ISBN = "1-55860-611-4",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco1999/GP-422.pdf",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco1999/GP-422.ps",
- abstract = "In this paper we investigate the influence of (a) the amount of variation generated in the genotype and (b) the depth of application of variation operators on the offspring fitness in genetic programming. Simulation results on three common test problems indicate that for certain features of the fitness distribution the location of the variation may play as important a role as the choice of the applied operators.",
-
notes = "GECCO-99 A joint meeting of the eighth international
conference on genetic algorithms (ICGA-99) and the
fourth annual genetic programming conference
(GP-99)
Errata: We thought of binary trees when the second paragraph on the second page (i.e. 1062) was written...",
