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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 10 months ago
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
Yunpeng Cai, Xiaomin Sun, Peifa Jia
ISER
2000
Springer
111views Robotics» more  ISER 2000»
15 years 10 months ago
An Underwater Vehicle Monitoring System and Its Sensors
: This paper describes a virtual collaborative world simulator, DVECS (Distributed Virtual Environment Collaborative Simulator), for underwater robots and its underwater vehicle, S...
Song K. Choi, O. T. Easterday
GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
15 years 10 months ago
Speeding up the evaluation of evolutionary learning systems using GPGPUs
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...
María A. Franco, Natalio Krasnogor, Jaume B...
GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
15 years 10 months ago
Robust symbolic regression with affine arithmetic
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
Cassio Pennachin, Moshe Looks, João A. de V...
AAAI
2007
15 years 9 months ago
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...
Bobby D. Bryant, Risto Miikkulainen
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