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» Complex networks and evolutionary computation
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NCA
2006
IEEE
13 years 5 months ago
Evolutionary training of hardware realizable multilayer perceptrons
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...
Vassilis P. Plagianakos, George D. Magoulas, Micha...
EVOW
2009
Springer
14 years 3 days ago
Swarming for Games: Immersion in Complex Systems
Abstract. The swarm metaphor stands for dynamic, complex interaction networks with the possibility of emergent phenomena. In this work, we present two games that challenge the vide...
Sebastian von Mammen, Christian Jacob
EWLR
1997
Springer
13 years 9 months ago
Learning Complex Robot Behaviours by Evolutionary Computing with Task Decomposition
Building robots can be a tough job because the designer has to predict the interactions between the robot and the environment as well as to deal with them. One solution to cope the...
Wei-Po Lee, John Hallam, Henrik Hautop Lund
COCOON
1997
Springer
13 years 9 months ago
On the Complexity of Computing Evolutionary Trees
Leszek Gasieniec, Jesper Jansson, Andrzej Lingas, ...