Researching on the growth operator SWFZIRS of growth evolution algorithms

Shengjie Sun, Sheng Zhong*, Baihai Zhang

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

This paper put forward a algorithm to implement the function of growth operator, the algorithm is called SWFZIRS(Sector Window, Window Float, Window Zoom, Immune, Random Search). Sector Window, Window Float, and Window Zoom be used to improve the learning ability, and Immune be used to accumulate experience and to strengthen immunity, and Random Search be used to ensure population diversity. Experiments show that probability of that find global optimal solution is increased.

Original languageEnglish
Title of host publicationProceedings - 2011 7th International Conference on Computational Intelligence and Security, CIS 2011
Pages135-138
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 7th International Conference on Computational Intelligence and Security, CIS 2011 - Sanya, Hainan, China
Duration: 3 Dec 20114 Dec 2011

Publication series

NameProceedings - 2011 7th International Conference on Computational Intelligence and Security, CIS 2011

Conference

Conference2011 7th International Conference on Computational Intelligence and Security, CIS 2011
Country/TerritoryChina
CitySanya, Hainan
Period3/12/114/12/11

Keywords

  • Evolution algorithm
  • Function optimization
  • Growth operator
  • SWFZIRS

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