A Novel Diversity Measure of Genetic Programming

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

@InProceedings{Mori:2005:SMAPIP,

• author = "Naoki Mori",
• title = "A Novel Diversity Measure of Genetic Programming",
• booktitle = "Randomness and Computation: Joint Workshop ``New Horizons in Computing'' and ``Statistical Mechanical Approach to Probabilistic Information Processing''",
• year = "2005",
• address = "Sendai International Center, Sendai, Japan",
• month = "18-21 " # jul,
• note = "Extended Abstract",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.smapip.is.tohoku.ac.jp/~smapip/2005/NHC+SMAPIP/ExtendedAbstracts/NaokiMori.pdf",
• size = "2 pages",
• abstract = "To solve this problem, I propose a novel diversity measure in genetic programming by means of subtree entropy. I also propose a tree simplification method which removes redundancy parts from an individual genotype. To show an advantage of our methods, the computational experiments are carried out taking a symbolic regression problem as an example.y",
• notes = "SMAPIP: Statistical-Mechanical Approach to Probabilistic Information Processing http://www.smapip.is.tohoku.ac.jp/~smapip/2005/NHC+SMAPIP/index-e.html",

}

Genetic Programming entries for Naoki Mori

Citations