Chaotic Immune Clonal Selection Algorithm and Its Application

Author

Dai, Hongwei ; Li, Cunhua

Author_Institution

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

Volume

2

fYear

2009

fDate

Nov. 30 2009-Dec. 1 2009

Firstpage

65

Lastpage

68

Abstract

Immune clonal selection algorithm (ICSA), based on the clonal selection theory proposed by Burnet, has gained much attention in the last decade. ICSA can exploit and explore the solution space in parallel and effectively. However, antibody random initialization and premature convergence are two problems of ICSA. To solve these problems, chaotic initialization mechanism and quantum interference mechanism are introduced into ICSA. Simulation results based on the traveling salesman problems have demonstrated the efficiency and robustness of the novel clonal selection algorithm.

Keywords

chaos; travelling salesman problems; antibody random initialization; chaotic immune clonal selection algorithm; chaotic initialization mechanism; premature convergence; quantum interference mechanism; traveling salesman problems; Cells (biology); Chaos; Cloning; Genetic mutations; Immune system; Interference; Knowledge acquisition; Nonlinear equations; Space exploration; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3888-4

Type

conf

DOI

10.1109/KAM.2009.85

Filename

5362302