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Advisor(s)
Abstract(s)
An experimental study was performed to explore whether it
is neutrality itself or simply the larger neighborhoods associ-
ated with neutral representations that influence the results
achieved by evolutionary algorithms on NK fitness landscape
problems. Markov chains were used to model the behaviour
of a stochastic hill-climber on NK fitness landscapes, using
two different types of representation: a neutral network rep-
resentation which exhibits neutrality and a redundant rep-
resentation without neutrality which implements the same
neighborhood induced by the corresponding neutral repre-
sentation.
Description
Keywords
Citation
Correia, Marisol B.; Fonseca, Carlos M. On the roles of redundancy and neutrality in evolutionary optimization, Trabalho apresentado em the 9th annual conference, In Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07, London, England, 2007.
Publisher
ACM Press