13 genetic algorithms_9

Sometimes however the mutation may introduce a better

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Unformatted text preview: introduce a better individual with a new property into. This prevents process of reproduction from degeneration. In genetic algorithms mutation plays usually secondary role. Mutation rate is usually assumed on the level much below 1%. In our example mutation is equivalent to the random bit change of a given pattern. In this simple example with short strings and small population with a typical mutation rate of 0.1%, our patterns remain practically unchanged by the mutation process. The second generation for our example is shown in 8 Table If size of the population from one generation to another is the same, therefore two parents should generate two children. By combining two strings two another...
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This note was uploaded on 01/29/2014 for the course ELEC 6240 taught by Professor Staff during the Winter '08 term at Auburn University.

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