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» A Comparison of Genetic Network Models
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GECCO
2008
Springer
110views Optimization» more  GECCO 2008»
14 years 10 months ago
Evolving stable behavior in a spino-neuromuscular system model
This paper demonstrates the effectiveness of genetic algorithms in training stable behavior in a model of the spinoneuromuscular system (SNMS). In particular, we test the stabili...
Stanley Phillips Gotshall, Terry Soule
ESANN
2000
14 years 11 months ago
Confidence estimation methods for neural networks : a practical comparison
Feed-forward neural networks (Multi-Layered Perceptrons) are used widely in real-world regression or classification tasks. A reliable and practical measure of prediction "conf...
Georgios Papadopoulos, Peter J. Edwards, Alan F. M...
GLOBECOM
2010
IEEE
14 years 7 months ago
A Comparison of Modulations for Energy Optimization in Wireless Sensor Network Links
We study the energy consumption of individual links in wireless sensor networks (WSN). Three widely used digital modulation schemes, i.e. MQAM, MPSK, and MFSK, are analyzed and com...
Felipe M. Costa, Hideki Ochiai
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 3 months ago
Exploring selection mechanisms for an agent-based distributed evolutionary algorithm
In this paper we propose an agent-based model of evolutionary algorithms (EAs) which extends seamlessly from concurrent single-host to distributed multi-host installations. Since ...
A. E. Eiben, Marc Schoenauer, Juan Luís Jim...
CORR
1998
Springer
164views Education» more  CORR 1998»
14 years 9 months ago
Training Reinforcement Neurocontrollers Using the Polytope Algorithm
A new training algorithm is presented for delayed reinforcement learning problems that does not assume the existence of a critic model and employs the polytope optimization algorit...
Aristidis Likas, Isaac E. Lagaris