The crossover closure and partial match detection

Fernando Esponda, Stephanie Forrest, Paul Helman

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

The crossover closure generation rule characterizes the generalization achieved by artificial immune systems using partial match detection. The paper reviews earlier results and extends the previously introduced notion of crossover closure to encompass additional match rules. For concreteness, the discussion focuses on r-chunks matching, giving alternative ways that detectors can be used to implement the crossover closure.

Original languageEnglish (US)
Pages (from-to)249-260
Number of pages12
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2787
StatePublished - Dec 1 2003
Externally publishedYes

Fingerprint

Immune system
Crossover
Closure
Detectors
Partial
Rule Generation
Artificial Immune System
Detector
Alternatives

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

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