- author = "Justyna Petke and Mark Harman and William B. Langdon and Westley Weimer",
- title = "Using Genetic Improvement and Code Transplants to Specialise a {C++} Program to a Problem Class",
- booktitle = "17th European Conference on Genetic Programming",
- editor = "Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. {Rivas Santos} and Kevin Sim",
- year = "2014",
- series = "LNCS",
- volume = "8599",
- publisher = "Springer",
- pages = "137--149",
- address = "Granada, Spain",
- month = "23-25 " # apr,
- organisation = "EvoStar",
- keywords = "genetic algorithms, genetic programming, evolutionary programming, SBSE, software enngineering, genetic improvement, code transplants, code specialisation, NFR",
- isbn13 = "978-3-662-44302-6",
-
URL = "
http://www0.cs.ucl.ac.uk/staff/J.Petke/papers/Petke_2014_EuroGP.pdf",
-
DOI = "
doi:10.1007/978-3-662-44303-3_12",
- size = "12 pages",
- abstract = "Genetic Improvement (GI) is a form of Genetic Programming that improves an existing program. We use GI to evolve a faster version of a C++ program, a Boolean satisfiability (SAT) solver called MiniSAT, specialising it for a particular problem class, namely Combinatorial Interaction Testing (CIT), using automated code transplantation. Our GI-evolved solver achieves overall 17percent improvement, making it comparable with average expert human performance. Additionally, this automatically evolved solver is faster than any of the human-improved solvers for the CIT problem.",
-
notes = "GI system available from Justyna Petke via
e-mail
Slides at http://www.cs.ucl.ac.uk/staff/W.Langdon/gismo/petke_2014_eurogp_slides.pdf
Winner of Silver at 11th Annual HUMIES Awards 2014 Vancouver, British Columbia, see \cite{Petke:2014:humie}. Extended by \cite{Petke:2017:ieeeTSE}.
Part of \cite{Nicolau:2014:GP} EuroGP'2014 held in conjunction with EvoCOP2014, EvoBIO2014, EvoMusArt2014 and EvoApplications2014",
