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CEC
2008
IEEE
14 years 5 months ago
Dynamic adaptation and multiobjective concepts in a particle swarm optimizer for constrained optimization
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
Jorge Isacc Flores-Mendoza, Efrén Mezura-Mo...
EOR
2008
112views more  EOR 2008»
13 years 11 months ago
DEA based auctions
We discuss the design of multi-dimensional tender and auction mechanisms that combine Data Envelopment Analysis (DEA) and auction theory. The mechanisms select an agent to perform...
Peter Bogetoft, Kurt Nielsen
ECBS
2008
IEEE
115views Hardware» more  ECBS 2008»
14 years 5 months ago
Optimizing Design for Variability Using Traceability Links
Software systems have to provide flexibility by implementing variability. Existing design methodologies do not support means for optimizing the design for variability and for mea...
Matthias Riebisch, Robert Brcina
PVLDB
2010
189views more  PVLDB 2010»
13 years 9 months ago
Slicing Long-Running Queries
The ability to decompose a complex, long-running query into simpler queries that produce the same result is useful for many scenarios, such as admission control, resource manageme...
Nicolas Bruno, Vivek R. Narasayya, Ravishankar Ram...
SAB
2010
Springer
189views Optimization» more  SAB 2010»
13 years 9 months ago
TeXDYNA: Hierarchical Reinforcement Learning in Factored MDPs
Reinforcement learning is one of the main adaptive mechanisms that is both well documented in animal behaviour and giving rise to computational studies in animats and robots. In th...
Olga Kozlova, Olivier Sigaud, Christophe Meyer