The past century was era of linear systems. Either systems (especially industrial ones) were simple (quasi)linear or linear approximations were accurate enough. In addition, just at the ending decades of the century profusion of computing devices were available, before then due to lack of computational resources it was not easy to evaluate available nonlinear system studies. At the moment both ...

Adequacy of process design is closely connected to the notion of process model adequacy, which in turn is a surrogate for model quality. Quality of modeling is an important field of research in which, however, a comprehensive and generally acknowledged understanding is still outstanding. Notions of “model”, “adequacy” and “quality” often remain vague and focus on single aspects such as “syntax”...

Adequacy of process design is closely connected to the notion of process model adequacy, which in turn is a surrogate for model quality. Quality of modeling is an important field of research in which, however, a comprehensive and generally acknowledged understanding is still outstanding. Notions of “model”, “adequacy” and “quality” often remain vague and focus on single aspects such as “syntax”...

Surrogate models are used to map input data output when the actual relationship between two is unknown or computationally expensive evaluate. Many techniques exist for surrogate modeling; however, selecting suitable a given application remains an open challenge. This work describes PRESTO, Random Forest classifier-based tool, recommend appropriate modeling dataset surface approximation and surr...

We describe GTApprox — a new tool for medium-scale surrogate modeling in industrial design. Compared to existing software, GTApprox brings several innovations: a few novel approximation algorithms, several advanced methods of automated model selection, novel options in the form of hints. We demonstrate the efficiency of GTApprox on a large collection of test problems. In addition, we describe s...

Stochastic, iterative search methods such as Evolutionary Algorithms (EAs) are proven to be efficient optimizers. However, they require evaluation of the candidate solutions which may be prohibitively expensive in many real world optimization problems. Use of approximate models or surrogates is being explored as a way to reduce the number of such evaluations. In this paper we investigated three...

Computational reliability assessment in mechanized tunneling requires realistic numerical models accounting for the uncertainty of geotechnical and tunneling process parameters. For real-time prognoses, surrogate models are in general inevitable to substitute expensive complex numerical simulations. In this paper, different strategies for surrogate modeling in mechanized tunneling simulations a...

Data warehouses (DWs) are complex computer systems whose main goal is to facilitate the decision making process of knowledge workers. ETL (Extraction-Transformation-Loading) processes are responsible for the extraction of data from heterogeneous operational data sources, their transformation (conversion, cleaning, normalization, etc.) and their loading into DWs. ETL processes are a key componen...