Building Blocks Identification Based on Subtree Sample Counts for Genetic Programming

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

3 Zitate (Scopus)

Abstract

Often, the performance of genetic programming (GP) is explained in terms of building blocks - high-quality solution elements that get gradually assembled into larger and more complex patterns by the evolutionary process. However, the weak theoretical foundations of GP building blocks causes their role in GP evolutionary dynamics to remain still somewhat of a mystery. This paper presents a methodology for identifying GP building blocks based on their respective sample counts in the population (defined as the number of times they were sampled by the recombination operators and included in surviving offspring). Our approach represents a problem-independent way to identify important solution elements based on their influence on the evolutionary process.

OriginalspracheEnglisch
TitelProceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015
Redakteure/-innenAlberto Sanchez, Carlos Monsalve, Zenon Chaczko
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten152-157
Seitenumfang6
ISBN (elektronisch)9781479975884
DOIs
PublikationsstatusVeröffentlicht - 1 Okt 2015
VeranstaltungAsia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015 - Quito, Pichincha, Ecuador
Dauer: 14 Jul 201516 Jul 2015

Publikationsreihe

NameProceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015

Konferenz

KonferenzAsia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015
Land/GebietEcuador
OrtQuito, Pichincha
Zeitraum14.07.201516.07.2015

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