Adaptive polyclonal programming algorithm with applications

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

9 Scopus citations

Abstract

Based on the clonal selection theory, the main mechanism of immune clone applied in artificial intelligence is analyzed in this paper. A new operator, adaptive polyclonal operator as well as a novel artificial immune system algorithm, APPA (adaptive polyclonal programming algorithm), is put forward. Compared with some other evolutionary programming algorithms (like breeder genetic algorithm), APPA, behaving as an evolutionary strategy, is shown to be capable of solving complex machine learning tasks effectively, like multimodal function optimization.

Original languageEnglish
Title of host publicationProceedings - 5th International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2003
EditorsLicheng Jiao, Xin Yao, Brijesh Verma, Henry Selvaraj
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages350-355
Number of pages6
ISBN (Electronic)0769519571, 9780769519579
DOIs
StatePublished - 2003
Event5th International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2003 - Xian, China
Duration: 27 Sep 200330 Sep 2003

Publication series

NameProceedings - 5th International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2003

Conference

Conference5th International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2003
Country/TerritoryChina
CityXian
Period27/09/0330/09/03

Keywords

  • Adaptive systems
  • Artificial immune systems
  • Artificial intelligence
  • Cloning
  • Functional programming
  • Genetic programming
  • Immune system
  • Machine learning
  • Machine learning algorithms
  • Signal analysis

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