Evo-business

R1F104T01 Evo-business 2004-2006

The aim of the project is to automate business decisions in e-business. The proposed solution will be based on a near real-time decision support tool and on-line data analysis & pattern search.
Currently, we focus on different research aspects, including:

• Multi-agent co-evolutionary algorithms
• The fusion of different/distributed data structures
• The generation of a communication interfaces

The implementation of algorithms to discover emergent patterns (e.g. hierarchical structures, temporal patterns, periodic patterns).

UL Members: Prof Dr Pascal Bouvry, Assistant-Professor Dr Christoph Schommer, Grégoire Danoy, Ben Schroeder

Contact : Pascal Bouvry