HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
—Multichannel communication in a Wireless Mesh Network with routers having multiple radio interfaces significantly enhances the network capacity. Efficient channel assignment an...
Arunabha Sen, Sudheendra Murthy, Samrat Ganguly, S...
In this paper we discuss the feasibility of using singular points in a scale space representation (referred to as top points) for image matching purposes. These points are easily ...
Bram Platel, Frans Kanters, Luc Florack, Evguenia ...
We consider the problem of drawing a set of simple paths along the edges of an embedded underlying graph G = (V, E), so that the total number of crossings among pairs of paths is m...
Michael A. Bekos, Michael Kaufmann, Katerina Potik...
Abstract— Controlling the topology of a wireless ad hoc network is very important from the point of view of performance. One known technique for controlling the topology is throu...