On permutation masks in hamming negative selection

Thomas Stibor, Jonathan Timmis, Claudia Eckert

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

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.

Original languageEnglish
Title of host publicationArtificial Immune Systems - 5th International Conference, ICARIS 2006. Proceedings
PublisherSpringer Verlag
Pages122-135
Number of pages14
ISBN (Print)3540377492, 9783540377498
DOIs
StatePublished - 2006
Externally publishedYes
Event5th International Conference on Artificial Immune Systems, ICARIS 2006 - Oeiras, Portugal
Duration: 4 Sep 20066 Sep 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4163 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Artificial Immune Systems, ICARIS 2006
Country/TerritoryPortugal
CityOeiras
Period4/09/066/09/06

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