Linkage learning genetic algorithm for the design of withdrawal weighted SAW filters
Linkage learning genetic algorithm for the design of withdrawal weighted SAW filters
复制标题
用于设计撤回加权 SAW 滤波器的联动学习遗传算法
DOI：
10.1109/ultsym.2002.1193419
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发表时间：
2002
期刊：
影响因子：
--
通讯作者：
Priyanka
中科院分区：
文献类型：
--
作者：
V. Prabhu;B. Panwar;Priyanka
将链接学习遗传算法中传播积木的进化优势用于提取加权声表面波滤波器的设计。用一对(基因座、等位基因)表示基因，并保留合法的EPE-2染色体，有助于在交叉操作中使构建块更近。使用LLGA设计提取加权声表面波滤波器，与遗传算法和其他传统方法相比，预测了计算时间的减少一个数量级。
The evolutionary advantage of propagating the building blocks in the linkage learning genetic algorithm is used in the design of withdrawal weighted SAW filters. The representation of gene by a (locus, allele) pair and retaining a legal EPE-2 chromosome facilitates in bringing the building blocks closer during the crossover operation. The design of a withdrawal weighted SAW filter using LLGA predicts the reduction in computational time an order of magnitude smaller in comparison to genetic algorithm and other conventional methods.