The 4th Workshop on Evolutionary Algorithms for Problems with Uncertainty http://eapwu.ex.ac.uk/ To be held as part of The Genetic and Evolutionary Computation Conference (GECCO 2021)Lille, France, July 10-14 2021. Please note that GECCO 2021 will be held as an online/virtual-only conference. All accepted papers will be required to be presented in the form of a pre-recorded talk.
Submission opening: February 11, 2021 Submission deadline: April 12, 2021 Reviews due: April 22, 2021Decisions due: April 26, 2021 Camera-ready Material: May 3, 2021 Author registration deadline: May 3, 2021
Less than a month before the deadline for the 1st Evolutionary Reinforcement Learning workshop @ GECCO 2021, the premiere conference in evolutionary computing (this year held virtually at Lille, France, from July 10-14, 2021)
Wir erwarten wieder rund 1000 Anmeldungen zur Konferenz Digital Xchange Bergisches RheinLand am Samstag, dem 02. Oktober 2021. Egal ob Studierende, Lehrende, Politiker*innen, Unternehmer*innen, Mitglieder von Verwaltungen und Verbänden oder interessierte Bürger*innen: Sie können diese Digital-Konferenz aktiv mitgestalten! Der Call for Papers läuft – bitte reichen Sie Ihren Beitrag bis zum 31. März 2021 ein!
The Hot Off the Press (HOP) track invites researchers to submit summaries of their own works that were recently published in top-tier conferences and journals. Contributions are selected based on their scientific quality and their relevance to the GECCO community. All details can be found at https://gecco-2021.sigevo.org/Call-for-HOPs
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.
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.
Internet of Things: Online Anomaly Detection for Drinking
The provision of clean and safe drinking-water is an essential task for water supply companies all over the world. To deal with this scenario, highly sensible sensors monitor relevant water- and environmental data at several measuring points, on a regular basis. The monitored data can be analyzed to discover any kinds of anomalies. Early identification of anomalies in water quality data is a challenging task. It is important to identify true undesirable variations in the water quality. At the same time, false alarm rates have to be very low. This brings in the need for developing a robust and reliable early anomaly identification system that enables the water supply companies to counteract in time.
Based on the 2017 GECCO industrial challenge an updated more advanced problem is provided. This year’s industrial partner again is Thüringer Fernwasserversorgung (TFW), which provides the real-world dataset used in this challenge. Goal of the GECCO 2017 Industrial Challenge is to develop an event detector to accurately predict any kinds of changes in a time series of drinking water composition data.
Additionally, for the first time in the GECCO history we are now able to provide the opportunity for all participants to submit 2-page algorithm descriptions for the GECCO Companion. Thus, it is now possible to create publications in a similar procedure to the Late Breaking Abstracts (LBAs) directly through competition participation!
High-Performance Optimisation in Industry
The conference on High-Performance Optimisation (HPO) in Industry will be held in Ljubljana as part of the International Multi-conference on Information Society (IS 2018). It will be a forum for presenting use cases and exchanging experience among industrial partners already deploying HPO, as well as stimulating further proliferation of the methodology through promotional activities, establishing direct collaboration between academia and industry, and applying for multilateral projects. The presented work will be published in conference proceedings and publicly available to the interested audience.
Topics Multiobjective optimization
This event is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 692286.