Department of Civil and Environmental Engineering Vanderbilt University, Nashville, Tennessee 37235, USA Abstract An essential issue in surrogate model-based reliability analysis is the selection of training points. Approaches such as efficient global reliability analysis (EGRA) and adaptive Kriging Monte Carlo simulation (AK-MCS) methods have been developed to adaptively select training points...

The problem of detecting suitable parameters for metaheuristic optimization algorithms is well known long since. As these nondeterministic methods, e.g. evolution strategies (ES) [1], are highly adaptible to a specific application, detecting good parameter settings is vital for their success. Performance differences of orders of magnitude (in time and/or quality) are often achieved by means of ...

Surrogate mixtures are routinely used for understanding gasoline fuel combustion in engine simulations. The general trend surrogate formulation has been to increase the number of components a mixture better emulate real properties. Recently, new design strategy based on functional group analysis gasolines was proposed using minimal species [minimalist (MFG)—approach]. MFG surrogates (having jus...

nonlinear knapsack problems (nkp) are the alternative formulation for the multiple-choice knapsack problems. a powerful approach for solving nkp is dynamic programming which may obtain the global op-timal solution even in the case of discrete solution space for these problems. despite the power of this solu-tion approach, it computationally performs very slowly when the solution space of the pr...

A special class of the knapsack problem is called the separable nonlinear knapsack problem. This problem has received considerable attention recently because of its numerous applications. Dynamic programming is one of the basic approaches for solving this problem. Unfortunately, the size of state-pace will dramatically increase and cause the dimensionality problem. In this paper, an efficient a...

The CEA has developed the CERES-MITHRA (C-M) application to model the radionuclide atmospheric dispersion in order to evaluate the consequences on human health of radionuclide releases in the environment. This application is used either for crisis management or to perform assessment calculations for regulatory safety documents relative to nuclear facilities. C-M code is a time consuming complex...

ETL (Extract-Transform-Load) systems are formed by processes responsible for the extraction of data from several sources, cleaning and transforming it in accordance with some prerequisites of a data warehouse, and finally loading it in its multidimensional structures. ETL processes are the most complex tasks involved within the development of a Data Warehousing System, being crucial to model th...

This paper presents a scatter search (SS) based method for the bi-criteria multi-dimensional knapsack problem. The method is organized according to the usual structure of SS: 1) diversi...cation 2) improvement 3) reference set update 4) subset generation, and 5) solution combination. Surrogate relaxation is used to convert the multi-constraint problem into a single constraint one, which is used...

We propose the hypothesis that soleus muscle function may provide a surrogate measure of functional capacity in patients with heart failure. We summarize literature pertaining to skeletal muscle as a locus of fatigue and present our recent findings, using in vivo imaging in combination with biomechanical experimentation and modeling, to reveal novel structure-function relationships in chronic h...

The interest in probabilistic methodologies to demonstrate structural fire safety has increased significantly recent times. However, the evaluation of behavior under loading is computationally expensive even for simple models. In this regard, machine learning-based surrogate modeling provides an appealing way forward. Surrogate models trained simulate engineering (SFE) predict response at negli...