, 2010. Computational Intelligence in Expensive Optimization Problems, Springer.D. Ginsbourger, R. Le Riche and L. Carraro, Computational Intelligence in Expensive Optimization Problems, chapter Kriging is Well-Suited to Parallelize Optimization, Springer, 2010, pp. 131-162....
These endeavors initially require expensive data from wet-lab experiments to inform parameters, but most of the computational work can be accomplished using everyday, consumer-grade laptop and desktop computers! Indeed, the biggest barrier to entry is not hardware, data, or expense, but rather time...
Another structure validation step is to check the thermodynamical stability in terms of formation energy calculation. This step is usually done by DFT relaxation and then the calculation of their total energy and formation energy. However, this computation is expensive for a large amount of structures...
Because generating the null distribution for each behavioral score is computationally expensive, each r value in the null distribution (100 permutations) was computed by averaging across, at most, ten iterations of the RFE algorithm. The P value was computed as the proportion of observations in ...
Projective integration of expensive stochastic processes Othmer. An equation-free computational approach for extracting population-level behavior from individual-based models of biological dispersal. Physica D: Nonlinear Phenomena , 215(1):1--24, 2006. doi:10.1016/j.physd.2006.01.008 C. W... X Ch...
Intelligent scheduling methods will help to avoid cycling of large combustion plants, using expensive fossil fuel peaking plant, match renewable generation to electric vehicle charging and not overload the distribution system causing a reduction in power quality. In this paper, a state-of-the-art ...
Considering a two-scale simulation, the computation of the macroscopic tangent operator is essential, but computationally very expensive. One way of computing the macroscopic tangent operator is based on a numerical approximation [100, 103, 196]. Therefore, the linearized stress increment $$\begin{al...
This approach has two key issues: first, the whole procedure is computationally expensive, since it requires the preparation of samples with different sizes—at the very least three, in order to meaningfully fit a straight line, but in practice we observe that more points are usually needed; ...
It is computationally expensive to calculate the sequence probability for all possible paths. Introducing a forward algorithm can lower the computational cost to \({{{\mathcal{O}}}(Lm)\). The forward algorithm consists of a forward variable defined as \({f}_{j}^{S}(i)=p({x}_{0:i}...
Concurrent estimation of muscle activations, joint contact forces, and joint kinematics by means of gradient-based optimization of musculoskeletal models is hindered by computationally expensive and non-smooth joint contact and muscle wrapping algorithms. We present a framework that simultaneously speeds up...