A learning-based exploration approach is proposed to escape from the basins of attraction of converged-to optima, by selecting on what is termed the interestingness of a solution. This interestingness is based on the modeling error made by a surrogate model that is trained on all solutions encountered earlier during the search. Compared to multiple standard optimization runs, a learning-guided ...

This article describes model-based methods for global optimization. After introducing the global optimization framework, modeling approaches for stochastic algorithms are presented. We differentiate between models that use a distribution and models that use an explicit surrogate model. Fundamental aspects of and recent advances in surrogate-model based optimization are discussed. Strategies for...

Energy harvesting is a conventional method to collect the dissipated energy of a system. In this paper, we investigate the optimal location of a piezoelectric element to harvest maximum power concerning different excitation frequencies of a vibrating cantilever beam. The cantilever beam oscillates by a concentrated sinusoidal tip force, and a piezoelectric patch is integrated on the beam to gen...

When carrying out design searches, traditional variable screening techniques can find it extremely difficult to distinguish between important and unimportant variables. This is particularly true when only a small number of simulations is combined with a parameterization which results in a large number of variables of seemingly equal importance. Here the authors present a variable reduction tech...

Axial slits remarkably improve performance of the solid-rotor induction motors due to reduction of the rotor surface impedance. Those also change the end effect, but this is usually ignored in analysis, as it would require taking account for a realistic current density distribution. This work employs a simplified local 3-d finite element analysis to create a surrogate model of this end effect. ...

Selective transcriptional profiling is an attractive approach for alleviating the high cost of genetical genomics research as it requires only a subset of individuals in the QTL mapping study for microarray experiments. Current statistical methods for this approach are based on parametric models that might not be appropriate for all experiments. To provide a nonparametric method for analyzing d...