This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Most real-world negotiation scenarios involve multiple, interdependent issues. These scenarios are specially challenging because the agents' utility functions are nonlinear, ...
Establishing the correct correspondence between features in an image set remains a challenging problem amongst computer vision researchers. In fact, the combinatorial nature of fe...
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
In this paper, we consider the tree task graphs which arise from many important programming paradigms such as divide and conquer, branch and bound etc., and the linear task-graphs...