To successfully search multiple coadaptive subcomponents in a solution, we developed a novel cooperative evolutionary algorithm based on a new computational multilevel selection f...
Temporal difference (TD) learning has been used to learn strong evaluation functions in a variety of two-player games. TD-gammon illustrated how the combination of game tree search...
Adaptation to dynamic optimization problems is currently receiving a growing interest as one of the most important applications of evolutionary algorithms. In this paper, a compoun...
This paper describes the development of a structured document collection containing user-generated text and numerical metadata for exploring the exploitation of metadata in inform...
Walid Magdy, Jinming Min, Johannes Leveling, Garet...
Multi-relational data mining has become popular due to the limitations of propositional problem definition in structured domains and the tendency of storing data in relational dat...
Yusuf Kavurucu, Pinar Senkul, Ismail Hakki Toroslu