An iterative Bayesian optimization technique is presented to find spatial designs of data that carry much information. We use the decision theoretic notion value information as design criterion. Gaussian process surrogate models enable fast calculations expected improvement for a large number designs, while full-scale evaluations are only done most promising designs. The Hausdorff distance used...

To improve the stress state of traditional antislide pile and utilize stable soil on both sides a landslide slope foot, spatial arc supporting structure was proposed. Based numerical calculation, parametric study conducted to assess influence rise-span ratio structure, displacement top, earth pressure in front pile. The optimal 3-16 according simulation results. An indoor model test at carried ...

This paper aims to propose a topology optimization method on generating porous structures comprising multiple materials. The mathematical formulation is established under the constraints of individual volume fraction constituent phase or total mass, as well local all phases. original problem with numerous converted into box-constrained by incorporating augmented Lagrangian function, avoiding pa...

Habitat fragmentation and habitat loss are causing many species to become locally extinct. The need to restore or conserve biodiversity has initiated plans in Europeöand, more specifically, in the Netherlandsöto create networks of nature areas for the improvement of spatial coherence. In this paper spatial coherence is measured by the total boundary length of all nature areas. Spatial optimizat...

Three optimization models are proposed to select the best subset of stations from a large groundwater monitoring network: ~1! one that maximizes spatial accuracy; ~2! one that minimizes temporal redundancy; and ~3! a model that both maximizes spatial accuracy and minimizes temporal redundancy. The proposed optimization models are solved with simulated annealing, along with an algorithm parametr...

OBJECTIVE The purpose of this work is to evaluate the impact of optimization of magnification on performance parameters of the variable resolution X-ray (VRX) CT scanner. METHODS A realistic model based on an actual VRX CT scanner was implemented in the GATE Monte Carlo simulation platform. To evaluate the influence of system magnification, spatial resolution, field-of-view (FOV) and scatter-...

limitation of water resources in the earth has turned it as a valuable economic commodity. accordingly, the agricultural sector of which according to studies has the largest wasted water should be managed. therefore, it is advisable to use the application of methods and programming models such as the decision support system along with the abilities of gis in order to management of the water res...