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» Towards high speed multiobjective evolutionary optimizers
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CEC
2009
IEEE
13 years 9 months ago
Towards connectivity improvement in VANETs using bypass links
VANETs are ad hoc networks in which devices are vehicles moving at high speeds. This kind of network is getting more and more importance since it has many practical and important a...
Bernabé Dorronsoro Díaz, Patricia Ru...
CDC
2009
IEEE
172views Control Systems» more  CDC 2009»
13 years 10 months ago
A dynamic boundary guarding problem with translating targets
Abstract— We introduce a problem in which a service vehicle seeks to defend a deadline (boundary) from dynamically arriving mobile targets. The environment is a rectangle and the...
Stephen L. Smith, Shaunak Dattaprasad Bopardikar, ...
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
13 years 12 months ago
SDR: a better trigger for adaptive variance scaling in normal EDAs
Recently, advances have been made in continuous, normal– distribution–based Estimation–of–Distribution Algorithms (EDAs) by scaling the variance up from the maximum–like...
Peter A. N. Bosman, Jörn Grahl, Franz Rothlau...
GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
13 years 9 months ago
Bounding XCS's parameters for unbalanced datasets
This paper analyzes the behavior of the XCS classifier system on imbalanced datasets. We show that XCS with standard parameter settings is quite robust to considerable class imbal...
Albert Orriols-Puig, Ester Bernadó-Mansilla
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 3 months ago
Uncertainty handling CMA-ES for reinforcement learning
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
Verena Heidrich-Meisner, Christian Igel