Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
On the test of microprocessor IP cores
Proceedings of the conference on Design, automation and test in Europe
New evolutionary techniques for test-program generation for complex microprocessor cores
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
A simple but theoretically-motivated method to control bloat in genetic programming
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Automatic completion and refinement of verification sets for microprocessor cores
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
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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].