Analysis of genetic diversity through population history

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{mcphee:1999:A,

• author = "Nicholas Freitag McPhee and Nicholas J. Hopper",
• title = "Analysis of genetic diversity through population history",
• 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 = "1112--1120",
• 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-421.pdf",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco1999/GP-421.ps",
• URL = "https://dl.acm.org/doi/10.5555/2934046.2934071",
• size = "9 pages",
• abstract = "The idea that diversity in the population of a genetic algorithm affects the algorithm search efficiency is widely accepted. However, little is known about the amount of node level diversity present in Genetic Programming (GP) runs. In this paper, we introduce several techniques for measuring the diversity of a population based on the genetic history of the individuals. We then apply these measures to the genetic histories of several runs of four different problems. The results of this analysis show that a surprisingly small amount of diversity is present in the final population of a GP run. We conclude by suggesting a variety of other potential applications of these measures.",
• 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)",

}

Genetic Programming entries for Nicholas Freitag McPhee Nicholas J Hopper

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