2012
DOI: 10.1587/elex.9.822
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Improved mutation method for providing high genetic diversity of genetic algorithm processor

Abstract: Abstract:Hardware implementation of genetic algorithm processor (GAP) is important for proven effectiveness as optimization engines for real-time solutions. To implement the robust GAP, it is significant to maintain the population diversity for sustaining the convergence capacity and preventing local optimum problem. In this reason, we propose a deterministic mutation method for providing the high population diversity to GAP. Experimental results with mathematical problems and pattern recognition show that the… Show more

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Cited by 3 publications
(3 citation statements)
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“…A hamming distance calculator is simply composed of XNOR gate and the exponential function calculator is implemented based on lookup table. Mutation block simply performs XOR operation with mutation mask and crossover results [36,37]. …”
Section: Methodsmentioning
confidence: 99%
“…A hamming distance calculator is simply composed of XNOR gate and the exponential function calculator is implemented based on lookup table. Mutation block simply performs XOR operation with mutation mask and crossover results [36,37]. …”
Section: Methodsmentioning
confidence: 99%
“…This promotes wider search performance in earlier generations; in later generations it puts a damper on mutation likelihood, which can be useful to stabilize the pool to preserve good solutions without adding noise by needlessly replacing good pool members. In the implementation, threshold γ g evolves according to this functional form, which is a direct modification of a proposal by Kim and Lee (2012):…”
Section: Algorithm Ucp (Update Candidate Pool)mentioning
confidence: 99%
“…Moreover, optimization is carried out in the feld of engineering because of challenges due to discontinuity, nonlinearity, and nondiferentiability. In reference [15], to obtain sufcient matching factors for the system's derivation, many computational operations are essential for hardware devices. Many optimization techniques are implemented to minimize computational complexity.…”
Section: Introductionmentioning
confidence: 99%