Group Classification Using a Mix of Genetic Programming and Genetic Algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Konstam:1998:gcGPGA,

• author = "Aaron Konstam",
• title = "Group Classification Using a Mix of Genetic Programming and Genetic Algorithms",
• booktitle = "1998 ACM Symposium on Applied Computing",
• year = "1998",
• editor = "K. M. George",
• pages = "308--312",
• address = "Marriott Marquis, Atlanta, Georgia, U.S.A.",
• month = "27 " # feb # "-1 " # mar,
• publisher = "ACM",
• keywords = "genetic algorithms, genetic programming, classification, discriminant functions",
• ISBN = "0-89791-969-6",
• URL = "http://www.cogsci.ed.ac.uk/~ceilidh/SAC-Papers/Paper34/index.html",
• URL = "http://dl.acm.org/citation.cfm?id=330712",
• DOI = "doi:10.1145/330560.330712",
• acmid = "330712",
• size = "5 pages",
• abstract = "The goal of this study was to develop an algorithm for 2-group classification by discriminant analysis using genetic programming and genetic algorithms. This algorithm was tested on both theoretical and real world data. The genetic programming was used to find the functional form of the discriminant function and the genetic algorithms were then used to determine the coefficients of the functional form that maximises the classification of the data instances into the two groups. The algorithms worked well, giving results that were comparable to or better than competing classification algorithms.",
• notes = "SAC'98",

}

Genetic Programming entries for Aaron Konstam

Citations