All too often a seemingly insurmountable divide between theory and practice can be witnessed. In this paper we try to contribute to narrowing this gap in the field of ad-hoc rout...
Fabian Kuhn, Roger Wattenhofer, Yan Zhang, Aaron Z...
In continuous optimisation, surrogate models (SMs) are used when tackling real-world problems whose candidate solutions are expensive to evaluate. In previous work, we showed that...
Abstract-- We investigate cascade dynamics in thresholdcontrolled (multiplex) propagation on random geometric networks. We find that such local dynamics can serve as an efficient, ...
Abstract-- We present a new, biologically-inspired algorithm for the problem of covering a given region with wireless "units" (sensors or base-stations). The general prob...
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...