Nov 2, 2018 · We propose a learning-based paradigm (LEAPS2) to recommend the best surrogate/ with minimal computational effort using the input-output data of a complex ...

A learning-based data-driven paradigm (LEAPS2) is proposed for selecting the best surrogate/s to approximate complex systems. • The paradigm can evolve ...

We propose a learning-based paradigm (LEAPS2) to recommend the best surrogate/ with minimal computational effort using the input-output data of a complex ...

Selecting appropriate surrogate models is crucial. This article upgrades our learning-based surrogate selection paradigm (LEAPS2) to LEAPS2v2.

LEAPS2 (Learning based Evolutionary Assistive Paradigm for Surrogate Selection) [1,2] is a meta-learning framework that recommends three best surrogate ...

Learning-based data-driven paradigm (LEAPS2) for selecting the best surrogate/s to approximate complex systems. The paradigm allows the evolution of the ...

Surrogates are data-driven models that mimic input and output patterns in the data by means of response surfaces. Selecting a surrogate model that approximates ...

Garud, LEAPS2: Learning based Evolutionary Assistive Paradigm for Surrogate Selection, Computers & Chemical Engineering, № 119, с. 352 https://doi.org ...

Selecting appropriate surrogate models is crucial. This article upgrades our learning-based surrogate selection paradigm (LEAPS2) to LEAPS2v2. Its key features ...

Surrogate models are used to map input data to output data when the actual relationship between the two is unknown or computationally expensive to evaluate for ...