Title of article :
A novel fuzzy hybrid quantum artificial immune clustering algorithm based on cloud model
Author/Authors :
Zhang، نويسنده , , Ren-Long and Shan، نويسنده , , Mi-Yuan and Liu، نويسنده , , Xiaohong H. Zhang، نويسنده , , Li-Hong، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Pages :
13
From page :
1
To page :
13
Abstract :
In this paper we propose a novel fuzzy hybrid quantum artificial immune clustering algorithm based on cloud model (C-FHQAI) to solve the stochastic problem. Fuzzy hybrid quantum artificial immune algorithm can be developed with some of the advantages of information processing where there is a certain amount of indeterminism with qubits, i.e. quantum bits, replacing classical neurons having deterministic states and also in place of the classical artificial immune algorithm with quantum operators.The fuzzy combinatorial fuzzy hybrid quantum artificial immune clustering algorithm (C-FHQAI) is more expressive than the other fuzzy theories and methods. Finally, numerical examples show that the clustering effectiveness of the C-FHQAI algorithm is fast convergence and improves the accuracy of the fuzzy calculation. We find that the C-FHQAI clustering algorithm has the perspective of widespread application.
Keywords :
clustering algorithm , Cloud model , C-FHQAI , quantum computing
Journal title :
Engineering Applications of Artificial Intelligence
Serial Year :
2014
Journal title :
Engineering Applications of Artificial Intelligence
Record number :
2126258
Link To Document :
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