Category Archives: Publications

Click and Read! Free Access: Continuous and Discrete Global #Surrogate #Optimization

http://dx.doi.org/10.1016/j.asoc.2017.01.039Just click and read! Everybody can use the following personal article link, which will provide free access to the article “Model-based methods for continuous and discrete global optimization” (Thomas Bartz-Beielstein, Martin Zaefferer), and is valid for 50 days, until April 11, 2017:
https://authors.elsevier.com/a/1Ub295aecSVmv2

Here are some highlights:

  • Up-to-date survey and comprehensive taxonomy of surrogate model based optimization algorithms.
  • Covers continuous and discrete/combinatorial search spaces.
  • Presents six strategies for dealing with discrete data structures.
  • New strategy for model selection and combination in surrogate model-based optimization.
  • Outlook on important challenges (model selection, dimensionality, benchmarks, definiteness) and research directions.

Continue reading

#Surrogate #Models for Global and #Combinatorial #Optimization (#Kriging, #CFD)

The accepted manuscript (unformatted and unedited PDF) of the article “Model-based Methods for Continuous and Discrete Global Optimization” (T. Bartz-Beielstein, M. Zaefferer) is now available online at:
http://dx.doi.org/10.1016/j.asoc.2017.01.039
Article reference: ASOC4033
Journal title: Applied Soft Computing Journal
Corresponding author: Prof. Thomas Bartz-Beielstein
First author: Prof. Thomas Bartz-Beielstein
Accepted manuscript available online: 8-FEB-2017
DOI information: 10.1016/j.asoc.2017.01.039
A preprint can be downloaded from “Cologne Open Science”: urn:nbn:de:hbz:832-cos4-4356

#Surrogate #Metamodels, and #MachineLearning article online: Model-based Methods for Continuous and Discrete Global #Optimization

http://www.sciencedirect.com/science/article/pii/S1568494617300546

http://www.sciencedirect.com/science/article/pii/S1568494617300546

The article “Model-based Methods for Continuous and Discrete Global Optimization” by T. Bartz-Beielstein and M. Zaefferer is available online: http://www.sciencedirect.com/science/article/pii/S1568494617300546
A preprint can be downloaded from “Cologne Open Science”: urn:nbn:de:hbz:832-cos4-4356
Abstract:
The use of surrogate models is a standard method for dealing with complex real-world optimization problems. The first surrogate models were applied to continuous optimization problems. In recent years, surrogate models gained importance for discrete optimization problems. This article takes this development into consideration. The first part presents a survey of model-based methods, focusing on continuous optimization. It introduces a taxonomy, which is useful as a guideline for selecting adequate model-based optimization tools. The second part examines discrete optimization problems. Here, six strategies for dealing with discrete data structures are introduced. A new approach for combining surrogate information via stacking is proposed in the third part. The implementation of this approach will be available in the open source R package SPOT2. The article concludes with a discussion of recent developments and challenges in continuous and discrete application domains.

Interesting Article: Online Gait Learning for Modular Robots with Arbitrary Shapes and Sizes

New article by B Weel, M D’Angelo, E Haasdijk, and AE Eiben, published in Artificial Life, 2017. The abstract reads as follows: “Evolutionary robotics using real hardware is currently restricted to evolving robot controllers, but the technology for evolvable morphologies is advancing quickly. Continue reading

Trinkwassersicherheit und Predictive Analytics

Der Artikel “Trinkwassersicherheit und Predictive Analytics” (T. Bartz-Beielstein, S. Moritz, J. Strohschein, @th_koeln und Thorsten Winterberg, Dimitri Gross, Ralf Seger, Opitz Consulting GmbH) wurde zur Veröffentlichung in den DOAG Business News angenommen. Der Artikel erscheint voraussichtlich im April.  Continue reading

Auf dem Weg zur „schlauen“ Wasserversorgung

Unter dem Titel “Auf dem Weg zur ‘schlauen’ Wasserversorgung” berichtet der Berufsverband der Hygieneinspektoren BW e.V. in seinem Newsletter (Nr. 12, 15. Dezember 2016) über das Projekt IMProVt.
IMProvT („Intelligente Messverfahren zur Prozessoptimierung von Trinkwasserbereitstellung und Verteilung“)  wird von Forschungsgruppen der Professoren Bongards und Bartz-Beielstein @th_koeln durchgeführt. Der Newsletter kann hier heruntergeladen werden:
https://www.hygieneinspektoren-bw.de/files/Newsletter/Newsletter_Berufsverband_BW_No_122.pdf