Sciweavers

53 search results - page 10 / 11
» Adaptive strategy selection in differential evolution
Sort
View
116
Voted
GECCO
2010
Springer
237views Optimization» more  GECCO 2010»
15 years 4 months 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
15 years 1 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»
15 years 3 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»
14 years 6 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»
15 years 4 months 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