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
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;
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
DOI :
10.1109/CISE.2009.5366963
