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Titlebook: Automatic Re-engineering of Software Using Genetic Programming; Conor Ryan Book 2000 Springer Science+Business Media New York 2000 Natural

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楼主: CLAST
发表于 2025-3-23 13:38:27 | 显示全部楼层
Paragen II, for fitness measurement, we now evolve sequences of standard transformations, which, when applied to a serial program generate a functionally equivalent parallel version. Moreover, it can be proved using the transformations that the parallel version of the program has not been functionally modified.
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https://doi.org/10.1007/978-3-642-32412-3pproaches taken and some of the problems that were encountered with this task. The problems and obstacles we encountered are likely to confound other projects involving GP, and the book presents generalised approaches to reducing or avoiding these problems.
发表于 2025-3-23 22:28:34 | 显示全部楼层
Didem Buhari Gulmez,Seckin Baris Gulmezrious contributors to the current demand for programmers. Few systems remain static after delivery, as most are often subject to numerous calls for change, for everything from changing customer needs to porting the system to different operating systems or even different versions of the same operatin
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https://doi.org/10.1007/978-3-642-32416-1 even inaccurate information available on how one should approach particular problems. To further complicate matters, there are often several — possibly even conflicting — criteria by which the product is judged. EAs pride themselves on being able to pick their way through the minefield of misleadin
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Virgilio Panapanaan,Lassi Linnanenound knowledge. The same system that can solve symbolic regression problems, can show artificial ants how to negotiate their way around Santa Fe, can lay out electrical circuits and can control satellites. It can even identify potential risks to insurance companies.
发表于 2025-3-24 10:39:45 | 显示全部楼层
Christophe Genthon,Jean Jouzel,Michel Déquéto software re-engineering, and to people sceptical or even suspicious of GP. The previous chapter ended on a rather high note, GP had been successfully applied to a difficult, real world problem with a large degree of success, and with only a modicum of tweaking.
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