Created by W.Langdon from gp-bibliography.bib Revision:1.8081
Three subset selection methods described in the paper are:
Dynamic Subset Selection (DSS), using the current GP run to select difficult and/or disused cases,
Historical Subset Selection (HSS), using previous GP runs,
Random Subset Selection (RSS).
Various runs have shown that GP+DSS can produce better results in less than 20percent of the time taken by GP. GP+HSS can nearly match the results of GP, and, perhaps surprisingly, GP+RSS can occasionally approach the results of GP. GP+DSS also produced better, more general results than those reported in a paper for a variety of Neural Networks when used on a substantial problem, known as the Thyroid problem.",
DSS used in Discipulus \cite{francone:manual}",
Genetic Programming entries for Chris Gathercole Peter Ross