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Working Principle of Genetic Algorithm Matlab code:
The Ashkenazim have higher heterozygosity than non-Jewish Europeans yet descend from "a recent bottleneck of merely ~350 individuals." Page 63 of their under "Reasons for increased heterozygosity" asserts "Additionally, AJ genomes were shown to have ~3% West-African ancestry." This is highly questionable as the authors cite not their own data to support this claim, but rather the methodologically-flawed study "The history of African gene flow into Southern Europeans, Levantines, and Jews" by Moorjani et al.
The texture based features are extracted by Gabor filtering, feature selection techniques such as Information Gain, Principal Component Analysis, correlation based feature selection are employed with Genetic algorithm which is used as an optimal initialisation of the clusters.
Advantages of Genetic Algorithm Matlab code:
An intelligent stock trading decision support system through integration of genetic algorithm based fuzzy neural network and artiÿcial neural network, 118, 21–45.
 Rajeswari, K., & Vaithiyanathan, V.
The genetics of the Jewish and Muslim Tat speakers were found to be quite different, with the authors saying that they "do not reflect a common ancestry." The Mountain Jews were shown to be "a group with tight matrilineal genetic legacy who separated early from other Jewish communities."In the section "Analysis of paternal lineages", the authors indicate that the dominant Y-DNA haplogroup in Mountain Jews is G-M201 (3M285, P15, and M287), representing 36.8% of their total paternal lineages.
Real World Applications of Genetic Algorithm Matlab code:
A MATLAB simulation has been performed and a comparative study between the proposed algorithms with the PID Controller Tuner has been studied in the presented work.
The results obtained show a significant increase in test application time for low power TPG.
Key words: CUT, LP-TPG, Fault Coverage, Test Cycles, Test Vectors.
 Ajit Pal, Santanu Chattopadhyay, Synthesis and Testing for Low Power, Tutorial T7-A, 2009 22nd International Conference on VLSI Design
 Seongmoon Wang, Srimat T.
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Shim, Bong Gun Cho and Chih-Chen Hung)
Many organizations distribute non-aggregate personal data for research, and they must take steps to ensure that an adversary cannot predict sensitive information pertaining to individuals with high confidence.
Mackin, Kotaro Matsushita, Yukio Yanagisawa and Masao Igarashi)
The ability to measure and characterize the dimension, geometrical form and surface topography to study physical, chemical, mechanical and biological properties for complex features of engineering object, biomaterial, organ, tissue in micro- or nano-meter scale is vital for high degree of precision and accuracy and to verify the quality and reliability.
Behar, Daniel Garrigan, Matthew E.
The quantitative (peak signal to noise ratio) and visual results show the superiority of the proposed technique over the conventional and state-of art image resolution enhancement techniques.
Key words: Discrete wavelet transform(DWT), image resolution enhancement, Interpolation, peak signal to noise ratio(PSNR).
2006. Chenggang Mei, Juan Carlos Balda, andWilliam P.
The purpose of this paper is to use MAT LAB simulation of OFDM to see how the Bit Error Ratio (BER) of a transmission varies when Signal to Noise Ratio (S/N Ratio) and Multi propagation effects are changed on transmission channel.
 Wancheng Zhou, Hongsheng Zhao and Dongmei Zhu, J.
The Calculations were performed in the framework of density functional theory (DFT),using full-potential linearized augmented plane wave (FP-LAPW) method with generalized gradient approximation (GGA) for exchange – correlation potential.
We propose an optimization technique of FSMC using genetic algorithm.
A typical geneticalgorithm requires genetic representation of thesolution domain, fitness function to evaluate thesolution domain.
Key words: Antenna, Genetic Algorithm,optimization, Radiation patterns, side lobe level,
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