Created by W.Langdon from gp-bibliography.bib Revision:1.8010
we present a genetic programming variant, Pareto GP, which exploits the Pareto front to dramatically speed the symbolic regression solution evolution as well as explicitly exploit the complexity-performance trade-off. In addition to the improvement in evolution efficiency, the Pareto front perspective allows the user to choose appropriate models for further analysis or deployment. The Pareto front avoids the need to a priori specify a trade-off between competing objectives (e.g. complexity and performance) by identifying the curve (or surface or hyper-surface) which characterises, for example, the best performance for a given expression complexity.",
Genetic Programming entries for Guido F Smits Mark Kotanchek