Solving Computational Expensive Problems with a Response Surface Surrogate ModelsResponse surface modelLatin hypercube techniqueApproximationModern CAE technology is widely used in modern automobile design, engine design and so on. But its computational expense and highly time cost reduce the efficiency of ...
aThe method can be directly applied to the design of periodic structures, but the computational cost is expensive because it has to perform two finite-element analyses in each iteration, one for the macroscale optimization problem and the other for the microscale sub-optimization problem. 方法可以直...
aThe explicit anisotropic filter, when applied over even a moderate number of grid points in three dimensions, is, however, too expensive in terms of both computational and memory storage costs, because of the need to calculate and store filter coefficients and apply the filter explicitly at ...
Carraro, Computational Intelligence in Expensive Optimization Problems, chapter Kriging is Well-Suited to Parallelize Optimization, Springer, 2010, pp. 131-162.Y. Tenne and C. Goh, Eds., Computational Intelligence in Expensive Optimization Problems, ser. Adaptation, Learning and Optimization. Springer,...
However, high-fidelity computer simulations are computationally expensive. This turns to be a fundamental bottleneck when it comes to design automation using numerical optimization techniques. In particular, direct optimization of simulation models, typically, requires a large number of model evaluations, ...
Tabor, and J.E. Fieldsend. A suite of computationally expensive shape optimisation problems using computational fluid dynamics. In 15th International Con- ference on Parallel Problem Solving from Nature, PPSN2018, 15th International Conference on Parallel Problem Solving from Nature, PPSN2018, 2018....
In practical applications, the use of computational modeling has been industry-wide adopted to speed up product development as well as reduce physical testing costs. Such models of complex or large systems are, however, often computationally expensive, hence solution times of hours or more are not...
A major challenge in many applications is that computational models are expensive and can only be evaluated a limited number of times. Furthermore, without making strong assumptions, the calibration variables are not identifiable. We propose Bayesian non-isometric matching calibration (BNMC) that ...
Finding Least Expensive Tolerance Solutions and Least Expensive Tolerance Revisions: Algorithms and Computational ComplexityCOMPUTATIONAL complexityENGINEERING designREVISIONSALGORITHMSFor an engineering design, tolerances in design parameters are selected so that within these tolerances,...