… Sensitivity Analysis (SA) is complementary to UA and aims to … The most common SA method
is Local Sensitivity Analysis (… LSA are alleviated by using Global Sensitivity Analysis (GSA), …

… We use a global sensitivity analysis to quantify the contributions of various design input
parameters … More attention should be paid to these most influential parameters during the design …

… of the most important variables relies on Sensitivity Analysis (SA). SA is the … global (on the
entire input factor domain of variation). In RBDO context, the use of global sensitivity analysis …

… design. The methodology makes use of quasi-linearization and the global sensitivity matrix
returned is the design … been developed for quantitative optimal design of linear models can …

… This paper presents a model for the optimal design of biomass supply chain networks under
uncertainty. The uncertainties manifest themselves as a large number of stochastic model …

… Global sensitivity analysis (GSA) has been widely used to investigate the sensitivity of the …
In this paper a new single-solution search optimization algorithm is developed based on the …

… The global sensitivity analysis study provides comprehensive solutions for the design
and operation of two smart energy systems in different locations and types of city. …

… involves huge computer, and the optimal solution in theory is also … the global sensitivity
analysis with dynamic metamodel. By using the variance-based Sobol global sensitivity analysis …

… of analytical methods, such as those for global sensitivity analysis (GSA) and uncertainty
propagation (UP) to facilitate a robustdesign process. In this work, generalized analytical …

This study explores the use of global sensitivity analysis (GSA) and harmony search
algorithm (HSA) for design optimization of shell and tube heat exchangers (STHXs) from the …