DocumentCode :
478567
Title :
Immune Population Network Algorithm and Its Application in Fault Diagnosis
Author :
Hao, Wei ; Hao, Jiangong
Author_Institution :
Coll. of Comput. Sci., Taiyuan Univ. of Technol., Taiyuan
Volume :
6
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
658
Lastpage :
661
Abstract :
Based on the biological immune system, the authors propose a new immune population network algorithm which combines population immune algorithm and network immune algorithm in this paper. This algorithm could execute multi-point parallel search from local to global searching field, increasing the diversity of antigen population and the ability of searching maximum. At last, we apply this algorithm to the fault diagnosis system and simulation results indicate that the algorithm could recognize the fault correctly.
Keywords :
artificial immune systems; fault diagnosis; parallel algorithms; search problems; antigen population; biological immune system; fault diagnosis system; global searching field; immune population network; local searching field; multipoint parallel search; network immune algorithm; population immune algorithm; Application software; Artificial immune systems; Artificial neural networks; Biology computing; Cells (biology); Computer networks; Fault diagnosis; Immune system; Mathematical model; Mathematics; artificial immune system; fault diagnosis; immune network algorithm; immune population algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.117
Filename :
4667917
Link To Document :
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