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Abstract(s)
An experimental study aimed at assessing the
influence of redundancy and neutrality on the performance of
an (1+1)-ES evolution strategy modeled using Markov chains
and applied to NK fitness landscapes is presented. For the
study, two families of redundant binary representations, one
non-neutral family which is based on linear transformations
and that allows the phenotypic neighborhoods to be designed
in a simple and effective way, and the neutral family based on
the mathematical formulation of error control codes are used.
The results indicate whether redundancy or neutrality affects
more strongly the behavior of the algorithm used.
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Citation
Correia, Marisol B. The effect of redundancy and neutrality in genetic search, Trabalho apresentado em 2011 Third World Congress on Nature and Biologically Inspired Computing (NaBIC), In 2011 Third World Congress on Nature and Biologically Inspired Computing, Salamanca, Spain, 2011.