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AI
1999
Springer
15 years 6 months ago
Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT
Stochastic local search (SLS) algorithms have been successfully applied to hard combinatorial problems from different domains. Due to their inherent randomness, the run-time behav...
Holger H. Hoos, Thomas Stützle
IWC
2002
98views more  IWC 2002»
15 years 6 months ago
Living memory: agent-based information management for connected local communities
We investigate the application of multi-agent systems to develop intelligent information interfaces for connected communities, a class of computer applications aimed at enhancing ...
Kostas Stathis, Oscar de Bruijn, Silvio Macedo
TROB
2011
255views more  TROB 2011»
15 years 1 months ago
Active 3D Object Localization Using a Humanoid Robot
—We study the problem of actively searching for an object in a 3D environment under the constraint of a maximum search time, using a visually guided humanoid robot with twentysix...
Alexander Andreopoulos, Stephan Hasler, Heiko Wers...
PPL
2010
117views more  PPL 2010»
15 years 1 months ago
Neighborhood Structures for GPU-Based Local Search Algorithms
Local search (LS) algorithms are among the most powerful techniques for solving computationally hard problems in combinatorial optimization. These algorithms could be viewed as &q...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
ISBI
2009
IEEE
16 years 1 months ago
Improving M/EEG Source Localization with an Inter-Condition Sparse Prior
The inverse problem with distributed dipoles models in M/EEG is strongly ill-posed requiring to set priors on the solution. Most common priors are based on a convenient ℓ2 norm....
Alexandre Gramfort, Matthieu Kowalski