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تسجيل مستخدم جديدUsing Genetic Programming to Model Software
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We study a generic program to investigate the scope for automatically customising it for a vital current task, which was not considered when it was first written. In detail, we show genetic programming (GP) can evolve models of aspects of BLASTs output when it is used to map Solexa Next-Gen DNA sequences to the human genome.
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This paper discusses scalability of standard genetic programming (GP) and the probabilistic incremental program evolution (PIPE). To investigate the need for both effective mixing and linkage learning, two test problems are considered: ORDER problem,
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