DocumentCode :
2764620
Title :
Advancement in Artificial Immune Systems: A perspective of models, algorithms and applications
Author :
Al-Enezi, J.R. ; Abbod, M.F. ; Al-Sharhan, Salah
Author_Institution :
Sch. of Eng. & Design, Brunel Univ., Uxbridge, UK
fYear :
2009
fDate :
17-19 March 2009
Firstpage :
1
Lastpage :
6
Abstract :
Artificial Immune Systems (AIS) are a branch of computational intelligence field inspired by the biological immune system. It has gained a lot of interest by researchers during the past decade aiming to develop immune-based models and techniques to solve complex computational or engineering problems. This work presents some applications of AIS techniques to health problems, i.e., cancer prediction, in addition to a thorough survey of existing AIS models and algorithms with a focus on the last five years.
Keywords :
artificial immune systems; cancer; artificial immune systems; biological immune system; cancer prediction; computational intelligence field; health problems; immune-based models; Algorithm design and analysis; Artificial immune systems; Classification algorithms; Detectors; Optimization; Signal processing algorithms; Artificial immune systems; artificial immune networks; clonal selection; negative selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
GCC Conference & Exhibition, 2009 5th IEEE
Conference_Location :
Kuwait City
Print_ISBN :
978-1-4244-3885-3
Type :
conf
DOI :
10.1109/IEEEGCC.2009.5734320
Filename :
5734320
Link To Document :
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