… Based on computational results, pyrrole and water were … and optimized using multivariate
optimization methods such as Plackett–Burman design (PBD) and central composite design (…

… alternatives to actual simulation models in engineering design.” This statement is still weak
in the sense that one could argue that with the computational resources that we have today, …

… The optimization result was obtained for the multivariate problem. In some other research
works, a sensitivity analysis was traditionally employed [10] to determine which design …

… To circumvent the experimental limitations of these methodologies, a significant body of
research has recently focused on formulating and validating computational design optimization …

… design spaces with applications in computational design processes and interactive optimization.
… It supports the understanding of design problems in architectural design optimization by …

… multivariate optimization procedure is introduced, to draft the optimum building design
variables at an early design … to briefly compare the computational designs with recently realized …

… based on computational design and then the polymer was developed in optimized condition.
… Plackett–Burman design (PBD) and central composite design (CCD) was utilized to select …

… process that happens before the optimization. It proposes to use multivariate analysis algorithms
for … on supporting the design space definition before running the optimization (Figure 1). …

… aspect of conventional RDO can often get computationally intensive as neighborhood …
optimization is one of the efficient approaches in order to mitigate this issue of computational …

… Considering the multivariate optimization of mean and variance, one may set the weight ω …
and to adopt the geometric mean of Multivariate Mean Square Error functions whose principal …