Created by W.Langdon from gp-bibliography.bib Revision:1.8028
existence of strong redistribution effects that may be a major force in the early stages of a GP run. We also present two important theoretical results: An exact theory of bloat, and a general theory of how average size changes on flat landscapes with glitches. The latter implies the surprising result that a single program glitch in an otherwise flat fitness landscape is sufficient to drive the average program size of an infinite population, which may have
important implications for the control of code growth.",
Genetic Programming entries for Nicholas Freitag McPhee Riccardo Poli