“Surrogate assisted optimization of particle reinforced metal matrix composites” (L. Gentile, M. Zaefferer, D. Giugliano, H. Chen, T. Bartz-Beielstein)
“Comparison of Parallel Surrogate-Assisted Optimization Approaches” (F. Rehbach, M. Zaefferer, J. Stork, T. Bartz-Beielstein)
have been accepted as full papers. 100% of our papers, i.e., two out of two, were successful. We are looking forward to giving the presentations in Kyoto!
Five competitions are held as part of the 2018 Genetic and
Evolutionary Computation Conference (GECCO 2018). We have a number of competitions ranging from different types of optimization problems to games and industrial problems.
July 15-19, 2018
*** SUBMISSION DEADLINES ***
Black Box Optimization Competition: 30 June 2018
Competition on Niching Methods for Multimodal Optimization: 30 June 2018
General Video Game AI Competition: 15 June 2018
Internet of Things: Online Anomaly Detection for Drinking Water Quality:
30 June 2018
Two-page abstract are due on 27 March — more information below.
Virtual Creatures Competition: 22 June 2018
The challenge resource package is now online, the challenge is OPEN!
Am 2. März wurde an der FH Oberösterreich das Josef Ressel Zentrum (JRZ) für Symbolische Regression offiziell eröffnet. Thema des Forschungszentrums sind mathematische Modelle für Antriebssysteme. Geforscht wird in Kooperation mit den Unternehmen AVL List und Miba und gefördert durch das Bundesministerium für Digitalisierung und Wirtschaftsstandort.
Das Forschungsteam wird von FH-Prof. DI Dr. Gabriel Kronberger geleitet. In dem Forschungszentrum arbeiten zwei Dissertanten, 1,5 FTE Postdocs sowie weitere Diplomanden
Thematisch ist das JRZ im FH OÖ Center of Excellence for Smart Production angesiedelt.
Prof. Bartz-Beielsteins Keynote behandelte das Thema „Künstliche Intelligenz in industriellen Anwendungen“. Zwischen den Arbeitsgruppen am JRZ und Prof. Bartz-Beielstein besteht bereits seit mehr als zehn Jahren ein intensiver fachlicher Austausch. So wird an der FH Oberösterreich in der Arbeitsgruppe HEAL u.a. die Software “HeuristicLab” (Heuristic and Evolutionary Algorithms Laboratory) entwickelt. Die Arbeitsgruppe HEAL wird von Prof. Michael Affenzeller geleitet, Prof. Stefan Wagner fungiert als “Head Architect”.
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!
Highlights of the GECCO 2018 Industrial Challenge will include: Continue reading
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.
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.
Paper submission: May 1, 2018
Notification of acceptance: June 1, 2018
Final papers: July 31, 2018
Conference: October 8, 2018
Real-world applications (RWA) were originally the driving force for the development of evolutionary optimisation techniques; way before any theories were developed, EC was already applied successfully in the real world. In this spirit, the RWA track welcomes rigorous experimental, computational and/or applied advances in evolutionary computation (EC) in any discipline devoted to the study of real-world problems. The aim is to bring together contributions from the diverse fields encountered in Engineering and Sciences, including Social Sciences and Economics, into a single event. The focus is on applications including but not limited to:
- Papers that describe advances in the field of EC for implementation
- Papers that present rigorous comparisons across techniques in
- Papers that present novel uses of EC in the real world.
- Papers that present new applications of EC to real-world problems.
All contributions should be original research papers demonstrating the relevance and applicability of EC within a real-world problem. Papers covering multiple disciplines are welcome; we encourage the authors of such papers to write and present them in a way that allows researchers from other fields to grasp the main results, techniques, and their potential applications. The real-world applications track is open to all domains and all industries.
– Abstract deadline: January 30, 2018
– Submission of full papers: February 6, 2018
– Notification: TBA
– Conference: July 15-19, 2018
Anna I Esparcia-Alcazar, Universitat Politècnica de València
Thomas Bartz-Beielstein, TH Köln
Real-world applications, optimization, distributed computing,
scalability, industrial applications, scalable implementations.