While numerous power optimization techniques have been at all levels of design process abstractions for electronic components, until now, power minimization in mixed mechanical-el...
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Traditionally, Predator-Prey Models--although providing a more nature-oriented approach to multi-objective optimization than many other standard Evolutionary Multi-Objective Algori...
Christian Grimme, Joachim Lepping, Alexander Papas...
For large problems the ATMS often becomes the main resource consumer in any reasoning system. We propose an architecture (the 2vATMS) that combines the advantages of two techniques...
The Message Transformation Model (MTM), for modeling complex message transformation processes in data centric application scenarios, provides strong capabilities for describing the...