Highlights of the GECCO 2017 Industrial Challenge :
- Interesting Problem Domain: Event detection based on drinking water data offers a challenging test case for modern time series prediction methods.
- Real-world Data: Real drinking-water time series are provided for training, testing, and assessing event detection methods.
- Direct Link to Industry: The Thüringer Fernwasserversorgung will evaluate the winning submissions for an implementation in real-world applications. Moreover, a direct contact with the winning participants, who will keep all rights to their detection system, is highly appreciated by Thüringer Fernwasserversorgung.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 692286.
GECCO is sponsored by the Association for Computing Machinery Special Interest Group for Genetic and Evolutionary Computation (ACM SIGEVO).