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Abstract(s)
This paper considers the development of redundant
representations for evolutionary computation.
Two new families of redundant binary representations
are proposed in the context of a simple mutationselection
evolutionary model. The first is a family of
linear encodings in which the connectivity of the search
space may be designed directly via a decoding matrix.
The second is a family of representations exhibiting various
degrees of neutrality, and is constructed using mathematical
tools from error-control coding theory. The
study of these representations provides additional insight
into the properties of redundant encodings, such
as synonymity, locality, and connectivity, and into their
interrelationships.
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Citation
Fonseca, C.M.; Correia, M.B. Developing Redundant Binary Representations for Genetic Search, Trabalho apresentado em 2005 IEEE Congress on Evolutionary Computation, In 2005 IEEE Congress on Evolutionary Computation, Edinburgh, Scotland, UK, 2005.
Publisher
IEEE