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» Function Optimization with Coevolutionary Algorithms
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ASPDAC
2009
ACM
161views Hardware» more  ASPDAC 2009»
16 years 1 months ago
Risk aversion min-period retiming under process variations
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
Jia Wang, Hai Zhou
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
16 years 24 days ago
On the behavioral diversity of random programs
Generating a random sampling of program trees with specified function and terminal sets is the initial step of many program evolution systems. I present a theoretical and experim...
Moshe Looks
ICAPR
2005
Springer
16 years 4 days ago
Unsupervised Markovian Segmentation on Graphics Hardware
Abstract. This contribution shows how unsupervised Markovian segmentation techniques can be accelerated when implemented on graphics hardware equipped with a Graphics Processing Un...
Pierre-Marc Jodoin, Jean-François St-Amour,...
ICRA
2003
IEEE
125views Robotics» more  ICRA 2003»
15 years 12 months ago
Online footstep planning for humanoid robots
We present an online algorithm for planning sequences of footstep locations that encode goal-directed navigation strategies for humanoid robots. Planning footsteps is more general...
James J. Kuffner Jr., Satoshi Kagami, Koichi Nishi...
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GECCO
2010
Springer
152views Optimization» more  GECCO 2010»
15 years 11 months ago
Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia
Neuro-evolution and computational neuroscience are two scientific domains that produce surprisingly different artificial neural networks. Inspired by the “toolbox” used by ...
Jean-Baptiste Mouret, Stéphane Doncieux, Be...