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Evolving better RNAfold C source code

W. B. Langdon
doi: https://doi.org/10.1101/201640
W. B. Langdon
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Abstract

Grow and graft genetic programming (GGGP) can automatically evolve an existing state-of-the art program to give more accurate predictions of the secondary structures adapted by RNA molecules using their base sequence alone. That is, genetic improvement (GI) can make functional as well as non-functional source code changes.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted October 11, 2017.
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Evolving better RNAfold C source code
W. B. Langdon
bioRxiv 201640; doi: https://doi.org/10.1101/201640
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Evolving better RNAfold C source code
W. B. Langdon
bioRxiv 201640; doi: https://doi.org/10.1101/201640

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