We propose that the behaviour of non-linear media can be controlled automatically through coevolutionary systems. By extension, forms of unconventional computing, i.e., massively ...
Christopher Stone, Rita Toth, Andrew Adamatzky, Be...
The electric power grid is a vital network for every aspect of our life. The lack of buffer between generation and consumption makes the power grid unstable and fragile. While larg...
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
We consider the problem of bulk data transfers and bandwidth sharing in the context of grid infrastructures. Grid computing empowers high-performance computing in a large-scale di...
Content-based dissemination of data using pub/sub systems is an effective means to deliver relevant data to interested data consumers. With the emergence of XML as the standard f...