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Experimental comparisons of clonal selection algorithms with different metadynamics strategies

  • Xingxin Pei*
  • , Wenjian Luo
  • , Zhifang Li
  • , Baoliang Xu
  • , Xufa Wang
  • *Corresponding author for this work

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

Abstract

Metadynamics is an important operator of Clonal Selection Algorithms (CSAs), which is considered as an embedded mechanism to increase the population diversity. In the binary space, the traditional metadynamics usually adopts an equal probability to generate 0 and 1 for each bit of the chromosome. However, for some problems, such a metadynamics could not really increase the population diversity. In this paper, four different metadynamics strategies including the traditional metadynamics strategy and three novel metadynamics strategies are tested by experiments to compare their impacts on the performance of CSAs. The experimental results demonstrate that CSAs without and with different metadynamics strategies could have different performance.

Original languageEnglish
Title of host publicationBIC-TA 2009 - Proceedings, 2009 4th International Conference on Bio-Inspired Computing
Subtitle of host publicationTheories and Applications
Pages198-205
Number of pages8
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 4th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2009 - Beijing, China
Duration: 16 Oct 200919 Oct 2009

Publication series

NameBIC-TA 2009 - Proceedings, 2009 4th International Conference on Bio-Inspired Computing: Theories and Applications

Conference

Conference2009 4th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2009
Country/TerritoryChina
CityBeijing
Period16/10/0919/10/09

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