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INFOCOM
2008
IEEE
15 years 4 months ago
Minerva: Learning to Infer Network Path Properties
—Knowledge of the network path properties such as latency, hop count, loss and bandwidth is key to the performance of overlay networks, grids and p2p applications. Network operat...
Rita H. Wouhaybi, Puneet Sharma, Sujata Banerjee, ...
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
15 years 4 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
15 years 4 months ago
Robust multi-cellular developmental design
This paper introduces a continuous model for Multi-cellular Developmental Design. The cells are fixed on a 2D grid and exchange ”chemicals” with their neighbors during the gr...
Alexandre Devert, Nicolas Bredeche, Marc Schoenaue...
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
15 years 4 months ago
Evolving explicit opponent models in game playing
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
Alan J. Lockett, Charles L. Chen, Risto Miikkulain...
ICES
2005
Springer
111views Hardware» more  ICES 2005»
15 years 3 months ago
Evolvable Hardware System at Extreme Low Temperatures
This paper describes circuit evolutionary experiments at extreme low temperatures, including the test of all system components at this extreme environment (EE). In addition to hard...
Ricardo Salem Zebulum, Adrian Stoica, Didier Keyme...