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MASCOTS
2008
13 years 9 months ago
Network Information Flow in Network of Queues
Two classic categories of models exist for computer networks: network information flow and network of queues. The network information flow model appropriately captures the multi-ho...
Phillipa Gill, Zongpeng Li, Anirban Mahanti, Jingx...
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
14 years 12 days ago
Evolving the placement and density of neurons in the hyperneat substrate
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
Sebastian Risi, Joel Lehman, Kenneth O. Stanley
IEEEPACT
2008
IEEE
14 years 2 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
14 years 6 days ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
GECCO
2006
Springer
147views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolving a real-world vehicle warning system
Many serious automobile accidents could be avoided if drivers were warned of impending crashes before they occur. Creating such warning systems by hand, however, is a difficult an...
Nate Kohl, Kenneth O. Stanley, Risto Miikkulainen,...