Linkage learning genetic algorithm for the design of withdrawal weighted SAW filters

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.