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Recent advances and applications of surrogate models for finite element method computations: a review
The utilization of surrogate models to approximate complex systems has recently literature on surrogate modelling encompasses a large variety of approaches significant publications where surrogate mode...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2022 •
- Jimp •
- Link
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Jimp - Článek v periodiku v databázi Web of Science
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Surrogate Modelling of Solutions of Integral Equations by Neural Networks
Surrogate modelling of solutions of integral equations by neural networks is investigated theoretically. Estimates of speed of convergence of suboptimal surrogate solutions to solutions described by Fredholm theorem are der...
IN - Informatika
- 2012 •
- D
Rok uplatnění
D - Stať ve sborníku
Boosted Surrogate Models in Evolutionary Optimization
The paper deals with surrogate modelling, a modern approach to the optimization of empirical objective functions. The approach leads to a substantial decrease of time attractive in evolutionary optimization. In the paper, an extensi...
IN - Informatika
- 2009 •
- D
Rok uplatnění
D - Stať ve sborníku
Adaptive Generation-Based Evolution Control for Gaussian Process Surrogate Models
surrogate model-assisted version of the Covariance Matrix Adaptation Evolution Strategy uses Gaussian processes or random forests surrogate models with a generation-based the number of generations using the su...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2017 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
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Neural Networks as Surrogate Models for Measurements in Optimization Algorithms
The paper deals with surrogate modelling, a modern approach to the optimization for using surrogate models in evolutionary optimization, and proposes two extensions to those strategies - extension to boosted su...
IN - Informatika
- 2010 •
- D
Rok uplatnění
D - Stať ve sborníku
Feature Extraction for Surrogate Models in Genetic Programming
We discuss the use of surrogate models in the field of genetic programming. We describe a set of features extracted from each tree and use it to train a model of experiments, we show how surrogate modeling...
IN - Informatika
- 2016 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
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Boosted Neural Networks in Evolutionary Computation
The paper deals with a neural-network-based version of surrogate modelling. In the paper, an extension of surrogate modelling with regression boosting is proposed, which increases the accuracy of surrogate...
IN - Informatika
- 2009 •
- D
Rok uplatnění
D - Stať ve sborníku
Surrogate Model for Mixed-Variables Evolutionary Optimization Based on GLM and RBF Networks
Approximation of costly objective functions by surrogate models is an increasingly popular method in many engineering optimization tasks. Surrogate models can anoptimal or near-optimal solution. In this paper, a no...
IN - Informatika
- 2013 •
- D
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D - Stať ve sborníku
An Evolutionary Strategy for Surrogate-Based Multiobjective Optimization
The paper presents a surrogate-based evolutionary strategy for multiobjective optimization. The evolutionary strategy uses distance based aggregate surrogate models which use similar surrogate models on a ...
IN - Informatika
- 2012 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
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Doubly Trained Evolution Control for the Surrogate CMA-ES
This paper presents a new variant of surrogate-model utilization in expensive continuous evolutionary black-box optimization. This algorithm is based on the surrogate version of the CMA-ES, the Surrogate Covariance...
IN - Informatika
- 2016 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
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