Created by W.Langdon from gp-bibliography.bib Revision:1.8081
Information theoretic sufficiency outperforms linear correlation in ranking the relevance of available inputs in this data set. Similar results are obtained on inputs filtered by functions that ‘fold’ the data, thereby destroying information; ranking these intermediate evolutionary forms, sufficiency again outperforms correlation. Sufficiency also exhibits a distinct threshold separating irrelevant terms from terms that are indeed relevant in regression of these test problems. As a less computationally costly alternative to rankings of entire populations, tournament selection is often used; on this data set, for pairwise tournament selection, sufficiency greatly outperforms correlation. Multi-objective ranking, considering also information theoretic necessity to prefer appropriately filtered inputs (over corresponding raw inputs with excess entropies), is foreshadowed.",
Genetic Programming entries for Stu Card Chilukuri K Mohan