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ECAL
2001
Springer
14 years 1 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
BMCBI
2006
87views more  BMCBI 2006»
13 years 9 months ago
MathDAMP: a package for differential analysis of metabolite profiles
Background: With the advent of metabolomics as a powerful tool for both functional and biomarker discovery, the identification of specific differences between complex metabolite p...
Richard Baran, Hayataro Kochi, Natsumi Saito, Mako...
CEC
2009
IEEE
14 years 3 months ago
Multi-start JADE with knowledge transfer for numerical optimization
— JADE is a recent variant of Differential Evolution (DE) for numerical optimization, which has been reported to obtain some promising results in experimental study. However, we ...
Fei Peng, Ke Tang, Guoliang Chen, Xin Yao
CEC
2010
IEEE
13 years 9 months ago
Sequential DE enhanced by neighborhood search for Large Scale Global Optimization
— In this paper, the performance of a sequential Differential Evolution (DE) enhanced by neighborhood search (SDENS) is reported on the set of benchmark functions provided for th...
Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Dazhi J...
GECCO
2011
Springer
274views Optimization» more  GECCO 2011»
13 years 13 days ago
Fuzzy dynamical genetic programming in XCSF
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...
Richard Preen, Larry Bull