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Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
ISBN: 978-0-7695-3507-4
pp: 810-814
The representation of genes in a chromosome by locus, value, and block has provided a richer source of relations through representation for a fast converging genetic algorithm. The algorithm circumvents the limitations of linkage learning on the natural selection by injecting the genetic material at high recombination centers, obtained by introducing the fuzziness at the center of acceptance of the genetic material. The evolutionary advantage of propagating the building blocks in the block linkage learning genetic algorithm is used to design a finite impulse response filter with ternary {1,0, -1} weights.
Genetic Algorithm, Linkage learning

B. Panwar and A. Chand, "Block Linkage Learning Genetic Algorithm: An Efficient Evolutionary Computational Technique for the Design of Ternary Weighted FIR Filters," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 810-814.
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