A typical approach in surrogate-based modeling is to assess the performance of alternative surrogate models and select the model that performs the best. In this paper, we extend the utility of an ensemble of surrogates to: i) identify regions of high uncertainties at locations where predictions of surrogates widely differ, and ii) provide a more robust approximation approach. We explore the pos...

Added credits to the s∗ACM-ES algorithm. Section 1 Added references and clarified the motivation. Section 3 Added references. Abstract: The interest in accelerating black-box optimizers has resulted in several surrogate model-assisted version of the Covariance Matrix Adaptation Evolution Strategy, a state-of-the-art continuous black-box optimizer. The version called Surrogate CMA-ES uses Gaussi...

Load balancing scientific codes on massively parallel architectures is becoming an increasingly challenging task. In this paper, we focus on the Community Earth System Model, a widely used climate modeling code. It comprises six components each of which exhibits different scalability patterns. Previously, an analytical performance model has been used to find optimal load-balancing parameter con...

opment as part of a digital libraries initiative to integrate access to Europe’s distributed digitised cultural heritage resources. The prototype of “Europeana.eu” was launched by the President of the European Commission in November 2008 to such large-scale public interest that the portal came to a standstill. Now back online with full functionality, it gives access to 4.5 million items from ov...

Background: The practice of surrogacy is one of the most controversial procedures in infertility treatment. Despite increasing of using this technology in Iran, there are few practical data about surrogacy.There isn't any study assessing experiences of commissioning mothers about surrogate mother selection. Aim: The purpose of this study was exploring of commissioning mothers' experiences in se...

A surrogate model is a black box model that reproduces the output of another more complex model at a single time point. This is to be distinguished from the method of surrogate data, used in time series. The purpose of a surrogate is to reduce the time necessary for a computation at the cost of rigor and generality. We describe a method of constructing surrogates in the form of support vector m...

This paper focuses upon the efficient surrogate model algorithm for expensive simulation-based design optimization problems. Co-kriging method is used to develop a multi-fidelity surrogate model using two independent datasets. To achieve this objective, wing-body problem is taken as an example of application for highdimensional complex design problem. In addition, a simple sampling analysis is ...

In this paper, we develop an optimization model for the economic design of repetitive sampling plan in the presence of two markets. The process under consideration produces a product with a normally distributed quality characteristic with unknown mean and known variance. The quality characteristic has a lower specification limit. The quality of the product is controlled via lot-by-lot acceptanc...