Emergence of genomic self-similarity in location independent representations |
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Authors: | Ivan Garibay Annie S Wu Ozlem Garibay |
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Affiliation: | (1) School of Computer Science, University of Central Florida, P. O. Box 162362, Orlando, FL, 32816-2362;(2) Office of Research, University of Central Florida, 12443 Research Parkway, Suite 302, Orlando, FL, 32826-3252 |
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Abstract: | A key property for predicting the effectiveness of stochastic search techniques, including evolutionary algorithms, is the
existence of a positive correlation between the form and the quality of candidate solutions. In this paper we show that when
the ordering of genomic symbols in a genetic algorithm is completely independent of the fitness function and therefore free
to evolve along with the candidate solutions it encodes, the resulting genomes self-organize into self-similar structures
that favor this key stochastic search property. |
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Keywords: | Genetic algorithm Representation Proportional genetic algorithm Self-organization Genomic self-similarity Emergence |
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