Apr 25, 2008 � The DECA ensures that the evolutionary search is confined to those regions of the search space where the solutions to hard instances are likely�...
In task control, evolutionary optimisation tends to favour controllers that solve the easier task instances but that fail to solve the harder ones.
Apr 25, 2008 � The experimental results show DECA to generate controllers that can solve both the easy and hard instances of both task-control problems. We�...
The experimental results show DECA to generate controllers that can solve both the easy and hard instances of both task-control problems.
The experimental results show DECA to generate controllers that can solve both the easy and hard instances of both task-control problems. We discuss the results�...
The effectiveness of DECA is assessed on two task-control problems: a box-pushing task and a food-gathering task. The experimental results show DECA to generate�...
PDF hosted at the Radboud Repository of the Radboud University Nijmegen The following full text is a publisher's version. For additional information about�...
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Supplementary Data. DECA: THE DOPING-DRIVEN EVOLUTIONARY CONTROL ALGORITHM. Authors: Spronck, Pieter; Sprinkhuizen-Kuyper, Ida; Postma, Eric.
Deca: the doping-Driven Evolutionary Control Algorithm. Applied Artificial Intelligence, Vol. 22. 2010 ... Wilma Latuny, Eric Postma, Jaap van den Herik�...