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.
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.
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.
Papers for IEEE CEC 2021 should be submitted electronically through the Congress website at http://cec2021.mini.pw.edu.pl, and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity.
Impacting both the foundational and practical aspects of computational intelligence, Xin Yao’s accomplishments in advancing evolutionary computation and machine learning are making it easier to solve complex optimization problems. Congratulations! More can be found here.
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.
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.