The measured strains were compared with those obtained with different benchmark epoxy-matrix composites and with those obtained through micromechanical finite element simulations.
Experiments demonstrate how the proposed simulation framework, combined with traditional PTM method, can provide significant reduction in computation runtime and memory usage with different benchmark circuits.
The DOM-FEA method was validated by comparing the results with different benchmark studies, such as the equation of phonon radiative transfer, the ballistic diffusive equation, and the finite difference method of the phonon Boltzmann transport equation.
Its generalization ability was tested with different benchmarks: intertwined spirals, Mackey Glass time series and Proben1.
To check the effectiveness of the method it is tested on five different constrained benchmark test functions with different characteristics, four different benchmark mechanical design problems and six mechanical design optimization problems which have real world applications.
We have implemented HwTopoLB using the Charm++ Parallel Runtime System and evaluated its performance with two different benchmarks and one application.
We support our theory and algorithm with extensive empirical evaluation using different benchmark data sets.
After the comparison of proposed micro-TVMOPSO with several MOO algorithms for different benchmark problems, the micro-TVMOPSO is applied to a case study in engineering: the design optimization of a residential solar thermal combisystem using two conflicting objective functions, the life cycle cost (LCC) and energy use (LCE).
Table 3 shows the performance achieved by the models at different benchmark specificities with the narrower and broader case definitions.
Random forests (RF), ensembles of feedforward neural networks (NN), support vector machines (SVM), ensembles of boosted classification stumps (MB), k-nearest neighbor classification (k-NN) and linear discriminant analysis (LDA) are evaluated with various AD measures on ten different benchmark data sets.
