DocumentCode
2876196
Title
Research on Danger Model Theory Based Artificial Immune Algorithm
Author
Xu, Qingyang ; Meng, Xianyao ; Wang, Ning ; Zhang, Chuang
Author_Institution
Inf. Sci. & Technol. Coll., Dalian Maritime Univ., Dalian, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
Inspired from the experience of genetic and clone algorithm, propose an algorithm of danger model immune algorithm (DMIA) according to the danger model theory. It has a good performance in function optimization. From the simulation result, we can see that DMIA is valid, and also with higher efficiency than genetic algorithm.
Keywords
artificial immune systems; genetic algorithms; artificial immune algorithm; clone algorithm; danger model immune algorithm; danger model theory; function optimization; genetic algorithm; Artificial immune systems; Biological system modeling; Character recognition; Cloning; Constraint optimization; Educational institutions; Electronic mail; Genetic algorithms; Immune system; Information science;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5366963
Filename
5366963
Link To Document