The resource-constrained project scheduling problem (RCPSP) is a well-known that has attracted attention since several decades. Despite the rapid progress of exact and (meta-)heuristic procedures, can still not be solved to optimality for many instances relatively small size. Due known complexity, researchers have proposed fast efficient meta-heuristic solution procedures solve near optimality....

Abstract Every year, new ontology matching approaches have been published to address the heterogeneity problem in ontologies. It is well known that no one able stand out from others all aspects. An meta-matcher combines different alignment techniques explore various aspects of avoid performance being restricted some characteristics. The meta-matching process consists several stages execution, a...

A broad range of imaging and sensing technologies in the infrared require large Field-of-View (FoV) operation. To achieve this, traditional refractive systems often employ multiple elements to compensate for aberrations, which leads excess size, weight, cost. For many applications, including night vision eye-wear, air-borne surveillance, autonomous navigation unmanned aerial vehicles, size weig...

The cooperation among AI systems, and between systems humans is becoming increasingly important. In various real-world tasks, an agent needs to cooperate with unknown partner types. This requires the assess behaviour of during a cooperative task adjust its own policy support cooperation. Deep reinforcement learning models can be trained deliver required functionality but are known suffer from s...