On permutation masks in Hamming negative selection

Thomas Stibor, Jonathan Timmis, Claudia Eckert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Permutation masks were proposed for reducing the number of holes in Hamming negative selection when applying the r-contiguous 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, PROCEEDINGS
EditorsH Bersini, J Carneiro
Place of PublicationBERLIN
PublisherSpringer
Pages122-135
Number of pages14
ISBN (Print)3-540-37749-2
Publication statusPublished - 2006
Event5th International Conference on Artificial Immune Systems - Oeiras
Duration: 4 Sept 20066 Sept 2006

Conference

Conference5th International Conference on Artificial Immune Systems
CityOeiras
Period4/09/066/09/06

Keywords

  • DISCRIMINATION
  • SIZE

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