[1]ZHAO Chun-hui,ZHAO Hua,WAN Jian.Optimal design of stack filters using an improved clonal selection algorithm[J].CAAI Transactions on Intelligent Systems,2008,3(3):254-258.
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Optimal design of stack filters using an improved clonal selection algorithm

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 3 Number of periods: 2008 3 Page number: 254-258 Column: 学术论文—人工智能基础 Public date: 2008-06-25
Title:
Optimal design of stack filters using an improved clonal selection algorithm
Author(s):
ZHAO Chun-hui; ZHAO Hua; WAN Jian
College of Information and Communication Engineering; Harbin Engineering University; Harbin 150001; China
Keywords:
stack filters;  polyclonal operator;  clonal selection;  mutation;  regrouping
CLC:
TN911.26
DOI:
-
Abstract:
The op timal design of stack filters is actually an op timization of a positive Boolean function. In order to speed up the op timizing rate and p roduce a global op timal design of the stack filters, an imp roved clonal selection algorithm ( ICSA) is p resented, which introduces a polyclonal operator and simultaneous evolution of the memory u2 nit and the reserved group. The number of clonal particles in the memory unit can adap tively change with their af2 finity concentration. Regroup ing operations are made between parent generations and child generations in the mem2 ory unit, avoiding p roblems caused by breeding two close particles. The p reservation of group mutations guarantees diversity. Our experimental results confirmed that stack filters op timized with ICSA p roduce better filtering results in less time.
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