Title :
Research of an Artificial Immune Algorithm and Its application in Function Optimization
Author :
Yan, Gao ; Yaoguang, Wei
Author_Institution :
Sch. of Inf. Eng., Beijing Univ. of Sci. & Technol.
Abstract :
We proposed an artificial immune algorithm to function in this paper. It computes through the function value to estimate the antibody affinity. The antibody corresponds to the question solution, the more perfect the antibody the more it corresponds to the optimal solution. It is an unsupervised learning, therefore it is easy to stabilize. When being used in function optimization, the results show that it has fascinating ability in optimization
Keywords :
evolutionary computation; unsupervised learning; antibody affinity; artificial immune algorithm; function optimization; unsupervised learning; Adaptive systems; Biology computing; Bones; Cells (biology); Data analysis; Immune system; Machine learning; Pattern recognition; Protection; Robustness;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614892
