On permutation masks in hamming negative selection

Thomas Stibor, Jonathan Timmis, Claudia Eckert

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

7 Zitate (Scopus)

Abstract

Permutation masks were proposed for reducing the number of holes in Hamming negative selection when applying the r-contignous or r-chunk matching rule. Here, we show that (randomly determined) permutation masks re-arrange the semantic representation of the underlying data and therefore shatter self-regions. As a consequence, detectors do not cover areas around self regions, instead they cover randomly distributed elements across the space. In addition, we observe that the resulting holes occur in regions where actually no self regions should occur.

OriginalspracheEnglisch
TitelArtificial Immune Systems - 5th International Conference, ICARIS 2006. Proceedings
Herausgeber (Verlag)Springer Verlag
Seiten122-135
Seitenumfang14
ISBN (Print)3540377492, 9783540377498
DOIs
PublikationsstatusVeröffentlicht - 2006
Extern publiziertJa
Veranstaltung5th International Conference on Artificial Immune Systems, ICARIS 2006 - Oeiras, Portugal
Dauer: 4 Sept. 20066 Sept. 2006

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band4163 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz5th International Conference on Artificial Immune Systems, ICARIS 2006
Land/GebietPortugal
OrtOeiras
Zeitraum4/09/066/09/06

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