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GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 5 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
CEC
2009
IEEE
14 years 2 months ago
Examination timetabling using late acceptance hyper-heuristics
— A hyperheuristic is a high level problem solving methodology that performs a search over the space generated by a set of low level heuristics. One of the hyperheuristic framewo...
Ender Özcan, Yuri Bykov, Murat Birben, Edmund...
CP
2006
Springer
13 years 11 months ago
Adaptive Clause Weight Redistribution
In recent years, dynamic local search (DLS) clause weighting algorithms have emerged as the local search state-of-the-art for solving propositional satisfiability problems. However...
Abdelraouf Ishtaiwi, John Thornton, Anbulagan, Abd...
CIBCB
2009
IEEE
13 years 8 months ago
rnaDesign: Local search for RNA secondary structure design
Abstract-- The RNA secondary structure design (SSD) problem is a recently emerging research topic motivated by applications such as customized drug design and the self-assembly of ...
Denny C. Dai, Herbert H. Tsang, Kay C. Wiese
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 8 months ago
A hybrid method for tuning neural network for time series forecasting
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
Aranildo Rodrigues Lima Junior, Tiago Alessandro E...