5 papers
Local Routing Algorithms Based on Potts Neural Networks
J. Häkkinen, M. Lagerholm, C. Peterson +1
A feedback neural approach to static communication routing in asymmetric networks is presented, where a mean field formulation of the Bellman-Ford method for the single unicast pro…
Airline Crew Scheduling Using Potts Mean Field Techniques
M. Lagerholm, C. Peterson, B. Söderberg
A novel method is presented and explored within the framework of Potts neural networks for solving optimization problems with a non-trivial topology, with the airline crew scheduli…
A Potts Neuron Approach to Communication Routing
J. Häkkinen, M. Lagerholm, C. Peterson +1
A feedback neural network approach to communication routing problems is developed with emphasis on Multiple Shortest Path problems, with several requests for transmissions between…
Airline Crew Scheduling with Potts Neurons
M. Lagerholm, C. Peterson, B. Söderberg
A Potts feedback neural network approach for finding good solutions to resource allocation problems with a non-fixed topology is presented. As a target application the airline crew…
A Blocking Technique for Emulating Very Large Polyelectrolytes
C. Peterson, O. Sommelius, B. Soderberg
A new Monte Carlo method for computing thermodynamical properties of very large polyelectrolytes is presented. It is based on a renormalization group relating the original polymer…