Increasing Diversity and Controlling Bloat in Linear Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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