Increasing Diversity and Controlling Bloat in Linear Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Cao:2016:ICISCE,
  author =       "Bo Cao and Zongli Jiang",
  booktitle =    "2016 3rd International Conference on Information
                 Science and Control Engineering (ICISCE)",
  title =        "Increasing Diversity and Controlling Bloat in Linear
                 Genetic Programming",
  year =         "2016",
  pages =        "414--419",
  abstract =     "The objective of this paper is to use the age-layered
                 population structure model to increase diversity and
                 control bloat of the population in linear genetic
                 programming. Firstly, we use two level tournament
                 selection to increase the sub-population diversity in
                 each layer, and then apply the new model to linear
                 genetic programming to increase the sub-population and
                 the entire population diversity. The age-layered
                 population structure model segregates individuals into
                 different age-layers by their age, so it limits the
                 quantity of the old age and long length individuals.
                 Besides, the model regularly introduces new randomly
                 generated short individuals into the youngest layer to
                 reduce the average length of the population. The
                 experimental results show that the age-layered
                 population structure model can increase diversity and
                 control bloat of the population effectively.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/ICISCE.2016.97",
  month =        jul,
  notes =        "Also known as \cite{7726194}",
}

Genetic Programming entries for Bo Cao Zongli Jiang

Citations