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