— 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...
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...
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...
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...
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...