Created by W.Langdon from gp-bibliography.bib Revision:1.8081
To isolate the contribution that the evolutionary process makes to the search for good strategies, we compare GP and Simulated Annealing (SA) optimisation of programmes. To reduce the cost of learning, we also investigate an approach that uses statistical measures to maintain a uniform population pressure.",
Generational GP pop=300, touranment selection? size=2? Comparison with Simulated Annealing:SA also good but GP better Best GP exceeded performance of handcode routines (on average?) 65percent of time. Check details of what exctly this means.
Set number of games played so could distinquish meadian from top quartile with 95percent confidence. Claims it helps, but doesnt seem to have either speeded things at lot or made much better result.
Part of \cite{kinnear:book}",
Genetic Programming entries for Martin Andrews Richard Prager