One hybrid algorithm, which combined the genetic algorithm with gradient-based algorithm, was utilized during optimization procedure to increase the globality of the optimization exploration.
Based on this result, the 2nd version of sentiment analysis algorithm was utilized for comparing AsterixDB and Spark in further stream processing experiments.
The nucmer alignment algorithm was utilized requiring minimum clusters of 100 bp with maximum gap of 500 bp.
A deterministic global optimization based branch-and-bound algorithm is utilized to solve the resulting nonconvex mixed-integer nonlinear optimization model.
To overcome difficulties in the manual parameter adjustment task, the Lévy flight based pigeon-inspired optimization (PIO) algorithm is utilized by converting the parameter design problem to an optimization problem.
Based on the averaged equation, the continuation algorithm is utilized to analyze the detailed bifurcation scenario as the parameter f0 is varied.
Hierarchical clustering and graph clustering by DPClus algorithm were utilized to extract specific microorganism species clusters based on VOC similarity.
The fast kurtogram algorithm is utilized to obtain both optimal center frequency and bandwidth of the band-pass filter based on the maximum spectral kurtosis.
This numerical algorithm is utilized to compute copy number variation and the associated statistical confidence interval and is based on results from probability theory and statistics.
Imperial competitive algorithm is utilized for optimization.
Non-uniform grid technique and parallel FDTD algorithm are utilized.
