Adaptive danger area based Danger Model Immune Algorithm

Author

Xu, Qingyang ; Meng, Xianyao ; Wang, Ning ; Zhang, Chuang

Author_Institution

Inf. Sci. & Technol. Coll., Dalian Maritime Univ., Dalian, China

Volume

3

fYear

2009

fDate

20-22 Nov. 2009

Firstpage

109

Lastpage

112

Abstract

Danger Model Immune Algorithm(DMIA) is an algorithm based on the danger theory of biological immune system. In the basic algorithm, the danger area is fixed through the initial setting. It is an important parameter which will affect the capability of algorithm. In this paper, propose an adaptive danger area DMIA. The radius of danger area is decrease gradually according to the iteration steps. The simulation results indicate that the adaptive danger area DMIA is valid and has better optimization capability.

Keywords

artificial immune systems; genetic algorithms; adaptive danger area; biological immune system; danger model immune algorithm; optimization capability; Artificial immune systems; Biological system modeling; Biology; Character recognition; Educational institutions; Electronic mail; Immune system; Information science; Machine learning; Navigation; Adaptive danger area; Danger Model Immune Algorithm; danger signal; optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-4754-1

Electronic_ISBN

978-1-4244-4738-1

Type

conf

DOI

10.1109/ICICISYS.2009.5358210

Filename

5358210