GECCO Challenge 2021 is Online

The GECCO Industrial Challenge is a yearly competition for CI researchers and practitioners taking place at the GECCO. It poses difficult real-world problems provided by industry partners from various fields.

Simulation models are valuable tools for resource usage estimation and capacity planning. The simulator, BaBSim.Hospital, explicitly covers difficulties for hospitals caused by the COVID-19 pandemic. The simulator can handle many aspects of resource planning in hospitals, such as ICU beds, ventilators or personal, while taking into consideration several cohorts as age or current health status.

The task represents an instance of an expensive, high-dimensional computer simulation-based optimization problem. The simulations will be executed through an interface and hosted on one of our servers (similar to our last year’s challenge).

Your goal is to find an optimal parameter configuration for the BaBSim.Hospital simulator with a very limited budget of objective function evaluations. The participants will be free to apply one or multiple optimization algorithms of their choice.

More information can be found here.

Call for Papers: 1st International Workshop on Deep Learning in Pervasive Computing (PerDL 2021)

1st International Workshop on
Deep Learning in Pervasive Computing (PerDL 2021)
part of
IEEE International Conference on Pervasive Computing (PerCom)
March 22-26, Kassel (Germany)
Call for Papers
The most recent advances in  artificial intelligence, as concerns both
software  and hardware,  are fostering  a multitude  of smart  devices
capable to  recognize and  to react  to music, images, as well  as to
other “stimuli”.  These  autonomous things, from robots to cameras to
healthcare  devices,  could exploit  recent  advances  in Internet  of
Things and resort to pervasive and distributed computing techniques in
order to avoid constant connection to the Cloud.

Continue reading

Nice surprise : #bloxberg goodies arrived today

The bloxberg summit 2020 was planned to take place from March 2 to 4, 2020 at the Harnack House in Berlin, Germany. It was my first event that was cancelled because of COVID-19.
I really looked forward to participating in this event, meeting members of the bloxberg consortium from high-ranking research institutions worldwide.
Today, goodies from this event arrived. What a nice surprise! Many thanks to the organizers of this event. I will pass this materials to my students working on blockchain topics.

Free Preprint: “Expected Improvement versus Predicted Value in Surrogate-Based #Optimization” Available on Cologne Open Science

The publication “Expected Improvement versus Predicted Value in Surrogate-Based Optimization”, written by Frederik Rehbach, Martin Zaefferer, Boris Naujoks, and Thomas Bartz-Beielstein, deals with the correct parameterization for model-based optimization algorithms. The publication is available on Cologne Open Science.

Continue reading

Evolutionary Computation Digest — Sunday, 26 July 2020, Volume 34: Issue 8

EC Digest is available here:;ee852d34.2007

Today’s Topics:
– BibTeX for GECCO 2020
– Winners of the 2020 Humies Human-Competitive Awards

CFPs (with submission deadline)
– 01 August (Extended): Theory and Practice of Natural Computing
(Taoyuan, Taiwan)
– 07 August: Game Benchmark Competition @ PPSN 2020
– 01 November: EvoCOP @ EvoStar 2021 (Seville)
– 01 November: EuroGP @ EvoStar 2021 (Seville)
– 31 January, 2021: IEEE Congress on Evolutionary Computation (Kraków)

IDE+A Vortrag zu ‘Time Series Missing Data Visualization’ auf useR! Conference 2020

Unter normalen Umständen hätte die useR! Conference, die weltgrößte Konferenz für die Anwender der Statistiksprache R, dieses Jahr zum ersten mal parallel an zwei Standorten (St. Louis, USA und München) stattfinden sollen.

Stattdessen gab es aufgrund der von COVID-19 bedingten Umstände eine andere Art von Premiere – ein rein virtuelles Format. Das von Prof. Dr. Thomas Bartz-Beielstein geleitete Institut IDE+A  hat einen interessanten Vortrag zu “Visualization of missing data and imputations in time series” beigesteuert. Steffen Moritz ging in dem Vortrag auf neueste Entwicklungen im Bereich Visualisierung von fehlenden Messwerten in Zeitserien ein. Insbesondere auch auf die Möglichkeiten, die das imputeTS R Paket in diesem Bereich bietet.

Alle Vorträge der diesjährigen useR! sind auf dem Youtube Channel des R-Consortium online verfügbar.