The effects of crossover and mutation operators on variable length linear structures

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@TechReport{Rowe01,

• author = "Jon E Rowe and Nicholas F McPhee",
• title = "The effects of crossover and mutation operators on variable length linear structures",
• institution = "University of Birmingham, School of Computer Science",
• number = "CSRP-01-7",
• month = jan,
• year = "2001",
• email = "J.E.Rowe@cs.bham.ac.uk, N.F.McPhee@cs.bham.ac.uk",
• keywords = "genetic algorithms, genetic programming",
• file = "/2001/CSRP-01-07.ps.gz",
• URL = "ftp://ftp.cs.bham.ac.uk/pub/tech-reports/2001/CSRP-01-07.ps.gz",
• abstract = "In the search space of variable length strings, it is possible to define crossover and mutation operators that are equivalent to those used in genetic programming on tree structures. We study the effects of these operators on the lengths of strings within a population. It is shown that the distributions by which different string lengths are sampled are strongly biased. To investigate these biases, the effects of repeated application of the operators (without regard for fitness) is considered, and in some cases the fixed-point distributions are found.",

}

Genetic Programming entries for Jonathan E Rowe Nicholas Freitag McPhee

Citations