Category Archives: Surrogate Models

CfP: Parallel Computing and Surrogate Models in Multiobjective Optimization 

The special session Parallel Computing and Surrogate Models in Multiobjective Optimization (PSMO) will be held at BIOMA 2018. The submission deadline is 1 December 2017. The special session papers have to be submitted via the BIOMA 2018 submission page. Important: Only long papers (S2) with a maximum of 12 pages will be accepted. The accepted papers will be published, together with other conference papers, in a Lecture Notes in Computer Science (LNCS) volume by Springer. Detailed instructions for paper preparation can be found on the BIOMA 2018 submission page: https://bioma2018.sciencesconf.org/resource/page/id/2

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

SPOTSeven Lab welcomes guests from Slovenia and France @TH_Koeln @SynergyTwinning

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During the SYNERGY project meeting benchmark problems, algorithm parallelization and surrogate modeling were discussed. Guests from Slovenia and France stayed three days at TH Köln in Gummersbach to discuss recent project results and further steps with members of the SPOTSeven Lab. Continue reading

BIOMA 2018: Interesting sessions in Paris

 

The following sessions will be held at BIOMA 2018 in Paris:

1. “Applications of bioinspired optimization methods to civil engineering problems”, by Prof Y. Cengiz Toklu (Okan University, Turkey)

2. “Parallel computing and surrogate models in multiobjective optimization”,by Prof Bogdan Filipic (Jozef Stefan Institute, Slovenia), Thomas Bartz-Beielstein (TH Koln, Germany)

3. “Control parameters adaptation”, by Dr. Gregor Papa (IJS, Slovenia), Dr. Janez Brest (University of Maribor, Slovenia)

4. “Optimization under uncertainty”, by Prof. Massimiliano Vasile (University of Strathclyde,Glasgow, UK)

More information about the conference can be found here:
https://bioma2018.sciencesconf.org

Last chance: Free access to article about Model-based Methods #optimization

If you are interested in “Model-based Methods for Continuous and Discrete Global Optimization“, you can freely access the article until April 11, 2017:
https://authors.elsevier.com/a/1Ub295aecSVmv2
The SPO Toolbox was used for performing the experiments described in this article. The Sequential Parameter Optimization Toolbox 2.0.1 is a major update of the SPOT R package. It provides a set of tools for model based optimization and tuning of algorithms. It includes surrogate models, optimizers and design of experiment approaches. The main interface is spot, which uses sequentially updated surrogate models for the purpose of efficient optimization. The main goal is to ease the burden of objective function evaluations, when a single evaluation requires a significant amount of resources. See: https://CRAN.R-project.org/package=SPOT

Interested in #ModelBased Methods for #Optimization? #SPOT2

If you are interested in “Model-based Methods for Continuous and Discrete Global Optimization“, you can freely access the article until April 11, 2017:
https://authors.elsevier.com/a/1Ub295aecSVmv2
The SPO Toolbox was used for performing the experiments described in this article. The Sequential Parameter Optimization Toolbox 2.0.1 is a major update of the SPOT R package. It provides a set of tools for model based optimization and tuning of algorithms. It includes surrogate models, optimizers and design of experiment approaches. The main interface is spot, which uses sequentially updated surrogate models for the purpose of efficient optimization. The main goal is to ease the burden of objective function evaluations, when a single evaluation requires a significant amount of resources. See: https://CRAN.R-project.org/package=SPOT