Evolutionary and Parallel Computing

Evolutionary and Parallel Computing

The team of Pascal Bouvry is conducting research on parallel and evolutionary computing, in particular how different species may co-evolve featuring different individuals taking local decisions while ensuring global objectives (e.g. search and optimization). This target is approached through various facets like loosely coupled genetic algorithms, distributed immune systems, and iterated multi-player prisoner dilemma. The main application domains of the team fit the University of Luxembourg priorities: - security, trust and reliability, for example: cryptology, intrusion detection, and reliable scheduling and routing on new generations of networks such as p2p, ad-hoc, and hybrids. - sustainable development, for instance, Energy Efficient Data Centers - systems biomedecine, for example, genomic sequencing, proteine folding, genomic modeling. http://teambouvry.gforge.uni.lu/