2010. Conditioned Latin Hypercube Sampling: Optimal Sample Size for Digital Soil Mapping of Arid Rangelands in Utah, USA. In: J.L. Boettinger et al. (eds.), Digital Soil Mapping, Progress in Soil Science 2, Spr
Latin Hypercube sampling is performed to generate input data for rigorous Aspen Plus simulations. Piecewise linear surrogate models are derived by solving GDP problems based on high-fidelity data from Aspen Plus and nonlinear capital cost correlations. In the following step, a hybrid MILP master ...
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 ...
MiniCloud: Faster and more compact version ofOptiCloudfor more experienced users. It is limited to spherical sampling and an energy-based solver, insingleprecision. Dependencies: MATLAB Version: Developed and tested on MATLAB R2016b and later. ...
Some of our PSO codes for stand alone programs are in MATLAB, where the user can download to make changes, when necessary, for their problems. This website allows practitioners to compare designs and arrive at an informed decision on the choice of the design to implement. We have applied ...
When using the simulation–optimization model to optimize groundwater extraction-treatment schemes, constructing a surrogate model for the numerical simulation model is an effective tool for overcoming the large computational load. However, the construction of a one-shot static-surrogate model has disadvan...
A large number of original scenario sets of wind turbine power obeying probability distribution are generated by Latin Hypercube Sampling (LHS) [25], and then the above scenario sets are reduced by the simultaneous back-generation reduction method based on probability distance to derive the ...
repair and maintenance, operation), Minimize costs (air pollution, power losses), and Minimize Energy Not Supplied Voltage, branch current, FCS installation capacity, power flow, waiting time, and number of charging – Hybrid PSO and Sine Cosine Acceleration Coefficient Gams and Matlab N Y PV and...
Intensity Measures (IMs) provide the relationship between Engineering Demand Parameters (EDPs) and seismic hazard characteristics for different structures and hence, their role in performance-based bridge design is significant. A few studies have investigated the optimal IMs for bridges under horizontal gr...
Here, we use a latin hypercube sampling for a large number of samples to reduce the modeling error. To train the surrogate models the Levenberg–Marquardt algorithm as implemented in MATLAB (trainlm) is used. The hyperbolic tangent is used as the activation function for all ANNs in this work...