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dc.contributor.advisorChairperson, Graduate Committee: Tomas Gedeonen
dc.contributor.authorHayes, Christina Savannah Mariaen
dc.description.abstractThe infinite population model for the genetic algorithm, where the iteration of the genetic algorithm corresponds to an iteration of a map G, is a discrete dynamical system. The map G is a composition of a selection operator and a mixing operator, where the latter models the effects of both mutation and crossover. This dissertation examines the finiteness and hyperbolicity of fixed points of this model. For a typical mixing operator, the fixed point set of G is finite and all fixed points are hyperbolic.en
dc.publisherMontana State University - Bozeman, College of Letters & Scienceen
dc.subject.lcshGenetic algorithmsen
dc.titleGeneric properties of the infinite population genetic algorithmen
dc.rights.holderCopyright 2006 by Christina Savannah Maria Hayesen
thesis.catalog.ckey1203591en, Graduate Committee: Marcy Barge; John Paxton; Richard Swanson; Richard Gilletteen Sciences.en

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