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Advisor(s)
Abstract(s)
An experimental study was performed to determine
whether it is neutrality itself or the larger neighborhoods
associated with neutral representations that allow good results
to be achieved on NK fitness landscape problems. Markov
chains were used to model a stochastic hill climber on NK
fitness landscapes, using three types of representation: a neutral
network representation, a redundant representation without
neutrality which exhibits the same neighborhood of the neutral
representation and a non-redundant representation.
Description
Keywords
Evolutionary Computation Redundant representations Neutrality Error control codes NK fitness landscapes
Citation
2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS Book Series: IEEE Congress on Evolutionary Computation Pages: 2842-2849 DOI: 10.1109/CEC.2007.4424832 Published: 2007