A brief survey of μGP
Massimiliano Schillaci, Edgar Ernesto Sánchez Sánchez · ACM SIGEVOlution · 2006
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].