Sooner than Expected: Hitting the Wall of Complexity in Evolution

25 Sep 2016Thomas SchmicklPayam ZahadatHeiko Hamann

In evolutionary robotics an encoding of the control software, which maps sensor data (input) to motor control values (output), is shaped by stochastic optimization methods to complete a predefined task. This approach is assumed to be beneficial compared to standard methods of controller design in those cases where no a-priori model is available that could help to optimize performance... (read more)

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