Created by W.Langdon from gp-bibliography.bib Revision:1.8028
Without loss of effectivity, these adjustments to ordinary GP have the schema theory apply well to GP.",
Positional Genetic Programming (genetic algorithms with encoded tree structures), 1996. This report describes a genetic programming engine implemented as a genetic algorithm, i.e. it uses fixed sized chromosomes and allows for ordinary crossover operators. Positional Genetic Programming turns out to perform better than the usual genetic programming scheme, that uses variable sized structures and random subtree exchange.
See also \cite{eiben:email:10-Nov-1997} thesis96.ps.gz doesnt work with ghostview 6-apr-98",
Genetic Programming entries for Cor J Veenman