Improving the parsimony of regression models for an enhanced genetic programming process

Alexandru-Ciprian Zavoianu, Gabriel Kronberger, Michael Kommenda, Daniela Zaharie, Michael Affenzeller

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

2 Zitate (Scopus)

Abstract

This research is focused on reducing the average size of the solutions generated by an enhanced GP process without affecting the high predictive accuracy the method exhibits when being applied on a complex, industry proposed, regression problem. As such, the effects the GP enhancements have on bloat have been studied and, finally, a bloat control system based on dynamic depth limiting (DDL) and iterated tournament pruning (ITP) was designed. The resulting bloat control system is able to improve by ≃ 40% the average GP solution parsimony without impacting average solution accuracy.

OriginalspracheEnglisch
TitelComputer Aided Systems Theory, EUROCAST 2011 - 13th International Conference, Revised Selected Papers
Seiten264-271
Seitenumfang8
Band6927
AuflagePART 1
DOIs
PublikationsstatusVeröffentlicht - 2012
Veranstaltung13th International Conference on Computer Aided Systems Theory, Eurocast 2011 - Las Palmas de Gran Canaria, Spanien
Dauer: 6 Feb. 201111 Feb. 2011
http://www.iuctc.ulpgc.es/spain/eurocast2011/

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NummerPART 1
Band6927 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz13th International Conference on Computer Aided Systems Theory, Eurocast 2011
Land/GebietSpanien
OrtLas Palmas de Gran Canaria
Zeitraum06.02.201111.02.2011
Internetadresse

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