Evolving better RNAfold C source code

author = "W. B. Langdon",

title = "Evolving better {RNAfold} {C} source code",

institution = "University College, London",

year = "2017",

number = "RN/17/08",

address = "London, UK",

note = "Also available as bioRxiv preprint 201640",

keywords = "genetic algorithms, genetic programming, genetic improvement, GGGP",

URL = "

http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/RN_17_08.pdf",

URL = "

https://www.biorxiv.org/content/early/2017/10/11/201640",

DOI = "

doi:10.1101/201640",

size = "10 pages",

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.",