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Schema processing under proportional selection in the presence of random effects

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2 Author(s)
Fogel, D.B. ; Natural Selection Inc., La Jolla, CA, USA ; Ghozeil, A.

Traditional selection in genetic algorithms has relied on reproduction in proportion to observed fitness. This method of selection devotes samples to the observed schemata in a form described by the well known schema theorem. When schema fitness takes the form of a random variable, however, the expected number of samples from extant schemata may not be described by the schema theorem and varies according to the specific random variables involved

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Evolutionary Computation, IEEE Transactions on  (Volume:1 ,  Issue: 4 )