Sobol and Halton sequences are both quasi-random low-discrepancy sequences, which seek to distribute samples uniformly across the input space. Then, each of the N partitions is sampled once, and randomly combined. LHS is a stratified sampling technique, and it splits the range of each input variable into N intervals of equal probability, where N is the number of sample points. Carlo type sampling which uses stratification of the distribution functions of input random.The sampling methods that were utilized to generate training data from the challenge functions include LHS, Sobol Sequence and Halton Sequence.
All computations were carried out on a HP Spectre X360 X64-based PC with 16 GB RAM using MATLAB 2017b.
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