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GECCO
2003
Springer
14 years 2 months ago
2003
Springer
Continuous Time Recurrent Neural Networks (CTRNNs) have previously been proposed as an enabling paradigm for evolving analog electrical circuits to serve as controllers for physica...
GECCO
2010
Springer
14 years 1 months ago
2010
Springer
The majority of work in the field of evolutionary robotics concerns itself with evolving control strategies for human designed or bio-mimicked robot morphologies. However, there ...
GECCO
2009
Springer
14 years 1 months ago
2009
Springer
Given the complexity of the problem, genetic algorithms are one of the more promising methods of discovering control schemes for soft robotics. Since physically embodied evolution...
CEC
2007
IEEE
14 years 27 days ago
2007
IEEE
Abstract-- Hypernetworks consist of a large number of hyperedges that represent higher-order features sampled from training patterns. Evolutionary algorithms have been used as a me...
EH
2004
IEEE
14 years 19 days ago
2004
IEEE
Sensor evolution in nature aims at improving the acquisition of information from the environment and is intimately related with selection pressure towards adaptivity and robustnes...