Title :
Immune Population Network Algorithm and Its Application in Fuzzy Clustering Analysis
Author :
Hao, Wei ; Hao, Jiangong
Author_Institution :
Coll. of Comput. Sci. & Software, Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
Based on the biological immune system, we propose a new immune population network algorithm which combines population immune algorithm and network immune algorithm in this paper. This algorithm can improve the capability of keeping population diversity of immune system. Then, we apply this algorithm to optimize the parameters of fuzzy clustering analysis (FCM). At last, the simulation results show that the algorithm will increase the possibility of FCM to find the globally optimal solutions.
Keywords :
fuzzy set theory; pattern clustering; biological immune system; fuzzy clustering analysis; immune population network algorithm; population network; Algorithm design and analysis; Biology computing; Clustering algorithms; Clustering methods; Data analysis; Data mining; Databases; Fuzzy logic; Immune system; Software algorithms; Artificial immune; Data mining; Fuzzy clustering analysis;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.171
