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DECA: THE DOPING-DRIVEN EVOLUTIONARY CONTROL ALGORITHM

Published in Applied Artificial Intelligence • Mar 13, 2008
NobleIDNI4P36W87R42S04
Authors:
Pieter Spronck
,
I.G. Sprinkhuizen-Kuyper
,
Eric Postma

Abstract

In task control, evolutionary optimization tends to favor controllers that solve the easier task instances but that fail to solve the harder ones. We call this the problem of hard instances. The doping-driven evolutionary control algorithm (DECA) is introduced to deal with the problem. The effective...

Subject

Task (project management)
Computer science
Deca-
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