Sciweavers

53 search results - page 10 / 11
» Adaptive strategy selection in differential evolution
Sort
View
GECCO
2010
Springer
237views Optimization» more  GECCO 2010»
14 years 16 days ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed
The well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD ....
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
ESANN
2004
13 years 9 months ago
Evolutionary tuning of multiple SVM parameters
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
Frauke Friedrichs, Christian Igel
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
13 years 11 months ago
A survey of mutation techniques in genetic programming
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
Alan Piszcz, Terence Soule
TON
2010
157views more  TON 2010»
13 years 2 months ago
Random Access Game and Medium Access Control Design
We study the contention/interaction among wireless nodes and med -ium access control design in game theory framework. We define a general class of games, called random access game...
Lijun Chen, Steven H. Low, John C. Doyle
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
14 years 11 days ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein