Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
This paper presents a new type of genetic algorithm for the set covering problem. It differs from previous evolutionary approaches first because it is an indirect algorithm, i.e. ...
In this paper we present an approach to the synthesis of fault-tolerant schedules for embedded applications with soft and hard real-time constraints. We are interested to guarante...
Viacheslav Izosimov, Paul Pop, Petru Eles, Zebo Pe...
—Semantic web service composition is about finding services from a repository that are able to accomplish a specified task if executed. The task is defined in a form of a comp...
Thomas Weise, Steffen Bleul, Diana Elena Comes, Ku...
— In this paper we study the complexity of spectrum assignment problems in cognitive radio networks (CRNs) in the presence of several constraints. Although optimal spectrum assig...
Chetan Nanjunda Mathur, Mohamed A. Haleem, Rajarat...