Title :
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
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;
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
DOI :
10.1109/ICICISYS.2009.5358210
