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» Evolving neural network ensembles for control problems
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ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
13 years 9 months ago
A Neural Framework for Robot Motor Learning Based on Memory Consolidation
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...
PPSN
2004
Springer
14 years 1 months ago
A Neuroevolutionary Approach to Emergent Task Decomposition
A scalable architecture to facilitate emergent (self-organized) task decomposition using neural networks and evolutionary algorithms is presented. Various control system architectu...
Jekanthan Thangavelautham, Gabriele M. T. D'Eleute...
CEC
2009
IEEE
13 years 5 months ago
A multiple hormone approach to the homeostatic control of conflicting behaviours in an autonomous mobile robot
This work proposes a biologically inspired system for the coordination of multiple and possible conflicting behaviours in an autonomous mobile robot, devoted to explore novel scena...
Renan C. Moioli, Patrícia Amâncio Var...
EH
2004
IEEE
106views Hardware» more  EH 2004»
13 years 11 months ago
How to Evolve the Head-Tail Pattern from Reaction-Diffusion Systems
The possible application of evolving artificial embryos to build functional machinery is a promising area of research. Unfortunately, there are still many fundamental problems to ...
Felix Streichert, Christian Spieth, Holger Ulmer, ...
GECCO
2011
Springer
274views Optimization» more  GECCO 2011»
12 years 11 months 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