Self-adaptive population size adjustment for genetic algorithms

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

24 Zitate (Scopus)

Abstract

Variable population sizing techniques are rarely considered in the theory of Genetic Algorithms. This paper discusses a new variant of adaptive population sizing for this class of Evolutionary Algorithms. The basic idea is to adapt the actual population size depending on the actual ease or difficulty of the algorithm in its ultimate goal to generate new child chromosomes that outperform their parents.

OriginalspracheEnglisch
TitelComputer Aided Systems Theory - EUROCAST 2007 - 11th International Conference on Computer Aided Systems Theory, Revised Selected Papers
Herausgeber (Verlag)Springer Verlag
Seiten820-828
Seitenumfang9
Band4739
Auflage4739
ISBN (Print)9783540758662
DOIs
PublikationsstatusVeröffentlicht - 2007
Veranstaltung11th International Conference on Computer Aided Systems Theory, EUROCAST 2007 - Las Palmas de Gran Canaria, Spanien
Dauer: 12 Feb 200716 Feb 2007

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band4739 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz11th International Conference on Computer Aided Systems Theory, EUROCAST 2007
LandSpanien
OrtLas Palmas de Gran Canaria
Zeitraum12.02.200716.02.2007

Fingerprint Untersuchen Sie die Forschungsthemen von „Self-adaptive population size adjustment for genetic algorithms“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren