Chaotic Clonal Selection Algorithm for function optimization

Author

Dai, Hongwei ; Yang, Yu ; Li, Cunhua

Author_Institution

Sch. of Comput. & Eng., Huaihai Inst. of Technol., Lianyungang, China

Volume

1

fYear

2010

Firstpage

181

Lastpage

184

Abstract

The chaotic initialization and chaotic search are introduced into Clonal Selection Algorithm (CSA) to overcome random antibody initialization and premature convergence problems in traditional CSA. Taking full advantages of the ergodic and stochastic properties of chaotic variables, antibodies with different affinity perform chaotic search to exploit local solution space. Experimental results on test functions demonstrate that the chaotic CSA outperforms the classical clonal selection algorithm.

Keywords

chaos; convergence; evolutionary computation; optimisation; search problems; stochastic processes; antibody affinity; antibody initialization; chaotic clonal selection algorithm; chaotic initialization; chaotic search; chaotic variables; ergodic properties; function optimization; premature convergence problem; stochastic properties; Biology computing; Cells (biology); Chaos; Cloning; Computer networks; Ecosystems; Immune system; Statistics; Stochastic processes; Testing; Clonal Selection Algorithm; chaotic initialization; chaotic search; optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

E-Health Networking, Digital Ecosystems and Technologies (EDT), 2010 International Conference on

Print_ISBN

978-1-4244-5514-0

Type

conf

DOI

10.1109/EDT.2010.5496611

Filename

5496611