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EvoSeedRNSAII: An improved evolutionary algorithm for generating detectors in the real-valued negative selection algorithms

  • Jie Zhang
  • , Wenjian Luo*
  • *Corresponding author for this work
  • University of Science and Technology of China

Research output: Contribution to journalArticlepeer-review

Abstract

In the previous work, a detector generation algorithm, named as the EvoSeedRNSA, is proposed. A genetic algorithm is adopted in the EvoSeedRNSA to evolve the random seeds to generate an approximately optimal detector set. This paper proposes an improved EvoSeedRNSA, named as the EvoSeedRNSAII, to generate a more efficient detector set. A multi-group random seed encoding scheme is designed to represent the individuals and different detector generation sequences are discussed. The experiments demonstrate that the EvoSeedRNSAII has a better performance than the EvoSeedRNSA.

Original languageEnglish
Pages (from-to)18-30
Number of pages13
JournalApplied Soft Computing
Volume19
DOIs
StatePublished - Jun 2014
Externally publishedYes

Keywords

  • Detector generation algorithm
  • Encoding schemes
  • EvoSeedRNSA
  • Evolutionary algorithm
  • Negative Selection Algorithm

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