Inverse of standard Gaussian cumulative probability distribution Φ^-1(u)${\mathrm{\Phi }}^{-1}(u)$, collapses when u→1$u\to 1$.

Mapping to standard Gaussian space may collapse as bounded random variable is pushed beyond its support.

Issues to be addressed during iterative design point search.

Benchmark problem is introduced to address above issues.

Formal mapping to standard Gaussian space smoothens the above problems.