The first version of μ GP has been proposed at the Congress of Evolutionary Computation in Honolulu (Hawaii) in 2002. Stemming from a simpler GA for optimizing parameters in test programs 1, μ GP has undergone several revisions and enhancements, and is now a rather sophisticated tool that incorporates many key ideas from the theory of evolutionary computation 2, 3 as well as from extensive on-field experience 4, 5, 6.
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