I am very happy to announce that on Wednesday, April 8th 2020, the PhD-colloquium of Samineh Bagheri, which I had the honor to supervise at TH Köln, successfully took place. Her thesis “Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box Problems” deals with state-of-the art optimization algorithms supported by RBF surrogate models. In normal...
SACOBRA 1.2 Now Available on CRAN
We are happy to inform you that a new version of the SACOBRA package is available on CRAN. SACOBRA is a self-adjusting surrogate assisted optimization framework designed for expensive black-box constrained problems. This version of SACOBRA can handle black-box equality constraints as described in this paper. Also the online model selection algorithm described in...
Young Author Award at 28th GMA-Workshop "Computational Intelligence"
This year the 28th Computational Intelligence workshop took place on November, 29th-30th, in Dortmund. As every year, this two-day workshop was packed with many interesting talks and two gripping keynotes (deep learning and OpenML). The presentations and the keynotes had diverse topics including fuzzy control, surrogate-assisted optimization, modeling techniques, deep learning, interesting applications (e.g. gait recognition, driving lane recognition)...
27th GMA-FA 5.14 Workshop of "Computational Intelligence"
The annual Computational Intelligence workshop in Dortmund is a great place for sharing new ideas and recent work done in computational-intelligence related topics. This year, the GMA workshop took place on 23-24 of November at the Dorint Hotel in Dortmund. Our team presented two papers in the fields of surrogate models and time series analysis. In total there...
Free download of our ASOC Article until November, 02, 2017
If you are interested in our recent article Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets which appeared in the journal Applied Soft Computing (ASOC), please take the opportunity to follow this link: https://authors.elsevier.com/a/1Vj555aecSVnxb. For a period until November, 02, 2017, this link will provide the free download of the final journal article....
OC Digital Day at TH Köln
The OC Digital Day organiezed by TH Köln and Opitz Consulting group has taken place at TH Köln Campus Gummersbach last Sturday. Many talks and a few keynotes were presented in the field of digitalising (model-based optimization, Big Data, Oracle, Gamification, smart home, ...) by Opitz employees as well as TH Köln students. Our...
Samineh Bagheri Wins Best Student Paper Award
We are happy to announce that Samineh Bagheri has won the Best Student Paper Award at "IEEE Symposium Series on Computational Intelligence" (IEEE SSCI 2016), a conference held in Athens, Greece . Read more here ...
"Online Selection of Surrogate Models for Constrained Black-Box Optimization" to be presented at SSCI 2016
We are delighted to announce that our recent research work related to online model selection for constrained optimization has been accepted for publication and it will be presented at SSCI 2016. The SSCI 2016 conference will be held in Athens, Greece, from 6th to 9th of December, 2016. Many plenary and keynote talks are planned in the wide...
Young Author Award for Samineh Bagheri
The 25th Workshop Computational Intelligence 2015, an annual conference held in Nov'2015 by the Computational Intelligence (CI) Chapter of VDI-GMA (Gesellschaft für Mess- und Automatisierungstechnik) in Dortmund, has attributed the Young Author Award to Samineh Bagheri, PhD, scientific member of the research group of Professor Konen at Campus Gummersbach. Congratulations!
Modeling and Optimization Seminar at Leiden University
The research group supervised by Prof. Wolfgang Konen from TH Köln has a collaboration with the Natural Computing group (head: Prof. Thomas H.W. Bäck) of the LIACS Computer Science department at Leiden University. On October,16th, 2015, a seminar took place in Leiden, Netherlands, in which both groups presented their recent research works.