This paper studies the optimality, scalability and stability of stateof-the-art partitioning and placement algorithms. We present algorithms to construct two classes of benchmarks...
A problem of eliminating the unwanted time-harmonic noise on a predetermined region of interest is solved by active means, i.e., by introducing the additional sources of sound, cal...
Without trust, most prudent business operators and clients may decide to forgo use of the Internet and revert back to traditional methods of doing business. To counter this trend,...
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...
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...