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CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 4 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
CORR
2002
Springer
92views Education» more  CORR 2002»
15 years 4 months ago
Neutrality: A Necessity for Self-Adaptation
Self-adaptation is used in all main paradigms of evolutionary computation to increase efficiency. We claim that the basis of self-adaptation is the use of neutrality. In the absenc...
Marc Toussaint, Christian Igel
STACS
1999
Springer
15 years 8 months ago
Balanced Randomized Tree Splitting with Applications to Evolutionary Tree Constructions
We present a new technique called balanced randomized tree splitting. It is useful in constructing unknown trees recursively. By applying it we obtain two new results on efficient ...
Ming-Yang Kao, Andrzej Lingas, Anna Östlin
PPSN
2010
Springer
15 years 2 months ago
Privacy-Preserving Multi-Objective Evolutionary Algorithms
Existing privacy-preserving evolutionary algorithms are limited to specific problems securing only cost function evaluation. This lack of functionality and security prevents thei...
Daniel Funke, Florian Kerschbaum