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PSO analysis selected two SNPs (rs12320939 and rs12313273) in ORAI1 genes as the best protective association model against breast cancer when the genotypes of rs12320939 and rs12313273 are TT and CC, respectively.
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With respect to the standard PSO algorithm, its convergence analysis provides a fundamental theory of selecting convergence operator and divergence operator.
The added PSO and the sensitivity analysis operators improve the generated population before and after CGA, respectively in conjunction with an embedded micro search operation in genetic algorithm to reduce the search space.
Latin hypercube sampling (LHS), particle swarm optimization (PSO) and design and analysis of computer experiments (DACE) surrogate algorithms are used as powerful SEARCH strategies in the MADS algorithm to improve its effectiveness.
Finally we present the application of these PSO algorithms to the analysis and solution of a VES inverse problem associated with a seawater intrusion in a coastal aquifer in southern Spain.
Because (r_mathrm{s}=-0.7) that there is a strong monotonic decreasing relation between two variables, and the Spearman analysis of PSO ((r_mathrm{s}=-0.8)) is presented in Fig. 9 where the monotonic relation is greater than the result recorded in ACO.
For the purpose of curvature analysis, only PSO as described in [16] with I = 50 particles and a maximum number of T = 8,000 iterations is applied for solving the nonlinear metric Ω.
PSo performed acquisition and analysis of the data.
System performance analysis using GA and PSO (Shakib et al. 2009) shows that PSO gives better placement of FACTS devices to increase availability of power at users end.
The recovered pTUC-PSO was subjected to purity analysis by denaturing gel electrophoresis and q-PCR (see below).
Performance of TLBO is found to be better than BFPSO, PSO and GA as per the analysis of results for individual cases.
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