Category Archives: Publications

In a Nutshell: Sequential Parameter #Optimization is also on @arxiv #rstats @utopiae_network

The paper “In a Nutshell: Sequential Parameter Optimization” has been assigned the permanent arXiv identifier 1712.04076 and is available at:
http://arxiv.org/abs/1712.04076

arXiv:1712.04076
Date: Tue, 12 Dec 2017 00:03:45 GMT   (2255kb,D)
Title: In a Nutshell: Sequential Parameter Optimization
Authors: Thomas Bartz-Beielstein, Lorenzo Gentile, Martin Zaefferer
Categories: cs.MS cs.AI math.OC
Comments: Version 12/2017
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract:
The performance of optimization algorithms relies crucially on their
parameterizations. Finding good parameter settings is called algorithm tuning.
Using a simple simulated annealing algorithm, we will demonstrate how
optimization algorithms can be tuned using the sequential parameter
optimization toolbox (SPOT). SPOT provides several tools for automated and
interactive tuning. The underling concepts of the SPOT approach are explained.
This includes key techniques such as exploratory fitness landscape analysis and
response surface methodology. Many examples illustrate how SPOT can be used for
understanding the performance of algorithms and gaining insight into
algorithm’s behavior. Furthermore, we demonstrate how SPOT can be used as an
optimizer and how a sophisticated ensemble approach is able to combine several
meta models via stacking.

“Metamodel-based optimization of hot rolling processes in the metal industry” – Full-text view-only version available

The article “Metamodel-based optimization of hot rolling processes in the metal industry” was published in The International Journal of Advanced Manufacturing. A full-text view-only version of this paper is available. All readers of this article via the shared link will also be able to use Enhanced PDF features such as annotation tools, one-click supplements, citation file exports and article metrics. Here is the link:
http://rdcu.be/vvws

Free Paper: In a Nutshell – Sequential Parameter #Optimization @utopia_network #TH_Koeln #rstats

We proudly present the first result of our cooperation in the UTOPIAE network:
Lorenzo Gentile, Martin Zaefferer, and Thomas Bartz-Beielstein published a paper about sequential parameter optimization. The paper is based on the talk given by Thomas Bartz-Beielstein during the UTOPIAE Network Training School at University of Strathclyde, Glasgow, earlier this year.

The paper is entitled “In a Nutshell: Sequential Parameter Optimization”. It gives a short introduction to surrogate model based optimization, which will be applied in the UTOPIAE project. Many examples illustrate the usefulness of the SPOT approach.

The paper can be downloaded here.

The abstract reads as follows:
The performance of optimization algorithms relies crucially on their parameterizations. Finding good parameter settings is called algorithm tuning. Using a simple simulated annealing algorithm, we will demonstrate how optimization algorithms can be tuned using the sequential parameter opti- mization toolbox (SPOT). SPOT provides several tools for automated and interactive tuning. The underling concepts of the SPOT approach are explained. This includes key techniques such as exploratory fitness landscape analysis and response surface methodology. Many examples illustrate how SPOT can be used for understanding the performance of algorithms and gaining insight into algorithm’s behavior. Furthermore, we demonstrate how SPOT can be used as an optimizer and how a sophisticated ensemble approach is able to combine several meta models via stacking.

Free Online-Version: Metamodel-based optimization of hot rolling processes in the metal industry


The article “Metamodel-based optimization of hot rolling processes in the metal industry” is published in The International Journal of Advanced Manufacturing. As part of the Springer Nature SharedIt initiative, a publicly full-text view-only version of this paper is available here.

The abstract reads as follows: Continue reading

Successful Presentations @useR!2017 Brussels

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Last week the useR! 2017 conference took place in Brussels, Belgium. The annual useR! conference is the main meeting of the international R user and developer community. Over 1000 participants came to listen to a broad spectrum of talks ranging from technical and R-related computing issues to general statistical topics of current interest .

Here you find some impressions from the conference: Pictures

The SPOTSeven team gave two presentations:

Here you can find the slides:

The talks enjoyed great participation and resulted in lots of interesting discussions afterwards.