APD - Analyse unterschiedlicher Problemdekompositionsverfahren anhand künstlicher Datensätze
- Duration: 01.12.2010 - 31.09.2013
- Funding: BMBF - Bundesministerium für Bildung und Forschung im Rahmen von "KMU-innovativ - Verbundvorhaben Klimaschutz: Automatische Problemzerlegung komplexer industrieller Verbrennungsprozesse zur Emissionsreduktion"
- Project partner:
TU Ilmenau, FG Neuroinformatik und Kognitive Robotik
Powitec Intelligent Technologies GmbH - Project coordinator: Prof. Dr. Horst-Michael Groß
- Preceding projects: SOFCOM

The APD (automatic problem decomposition) project aims to develop a system, which implements an automatic procedure to divide a problem into subtasks. These subtasks will enable learning techniques to find good solutions of higher accuracy in a shorter time frame and, hence, enable solutions for large difficult problems. It will be applied to the domain of combustion optimization, which is a highly complicated domain with a complex task structure, and will help to reduce greenhouse gas emissions in coal-fired power plants.
