To solve the problem with the surrogate model method, an optimal Latin hypercube sampling (OLHS) technique and a two-phase differential evolution (ToPDE) algorithm were utilized to generate calculation points in the design space, respectively. Then different surrogate models including the RSM model,...
(Citation2014) were the first to use PSO for the construction of optimal designs and generated Latin-hypercube designs. Chen et al. (Citation2014) and Mak and Joseph (Citation2018) applied PSO to generate space-filling designs. PSO for generating optimal designs for non-linear models were ...
8, it would be then applied into the optimal design system along with the Latin Hypercube Sampling (LHS) methodology, the Computational Fluid Dynamic (CFD) analysis, and the Multi-Objective Particle Swarm Optimization (MOPSO) method. Fig. 9 shows the flow chart of the optimal design system, ...
In this study, we employ the OSF [56] technique to generate the samples. Similar to the Latin Hypercube Sampling (LHS) method, OSF has no requirement for the number of samples as the dimension of variables increases as they both divide the entire design space into many levels, which equals...
2013) proposed a discrete PSO approach, named LaPSO, to search for an optimal Latin hypercube design. The authors accelerated LaPSO by using GPU and showed that the GPU implementation can save computational time significantly for large optimization problems. We expect that the programs in this ...
1. Parameters are sampled and substituted by Latin Hypercube Sampling (LHS) technique [41] (a valid statistical scheme for multidimensional distribution to obtaining parameter sample values). Total simulations of 1000 were carried out. The baseline parameter values of Table 2 were changed in 25% ...
Latin hypercube samplingIn this article, the Latin hypercube sampling (LHS) based probabilistic optimal power flow (P㎡PF) technique is employed to assess the performance of power systems under large wind power penetration. In the case where only wind speed samples are available, the kernel tuned...
In this article, the Latin hypercube sampling (LHS) based probabilistic optimal power flow (P‐OPF) technique is employed to assess the performance of power systems under large wind power penetration. In the case where only wind speed samples are available, the kernel tuned polynomial expansion ...
This is done for all LF’s, several load ramping directions (normalized vectors generated via Latin Hypercube sampling), and variable generation patterns (i.e.. variable generator costing parameters) resulting in an increased set of boundary data points. Intermediate solutions that satisfy N-1 ...
As a result, several advanced sampling techniques have been introduced to improve computational efficiency and reduce time such as Latin hypercube sampling (LHS), uniform design sampling and Latin supercube sampling [31], [33]. Analytical methods It mainly depends on simplify power flow equations ...