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View all- Dong WShi GZhang L(2007)Immune memory clonal selection algorithms for designing stack filtersNeurocomputing10.1016/j.neucom.2006.10.03770:4-6(777-784)Online publication date: 1-Jan-2007
In this paper, the problem of optimizing stack filters is changed into a one-zero knapsack problem based on the minimum mean square error (MMSE) criterion. The optimization of stack filters is realized by solving this knapsack problem with genetic ...
The genetic algorithm (GA) is a popular, biologically inspired optimization method. However, in the GA there is no rule of thumb to design the GA operators and select GA parameters. Instead, trial-and-error has to be applied. In this paper we present an ...
In this paper, a hybrid Taguchi-genetic algorithm (HTGA) is proposed to solve global numerical optimization problems with continuous variables. The HTGA combines the traditional genetic algorithm (TGA), which has a powerful global exploration capability,...
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