- author = "William B. Langdon and Mark Harman",
- title = "Fitness Landscape of the {Triangle} Program",
- booktitle = "PPSN-2016 Workshop on Landscape-Aware Heuristic Search",
- year = "2016",
- editor = "Nadarajen Veerapen and Gabriela Ochoa",
- address = "Edinburgh",
- month = "17 " # sep,
- note = "Also available as UCL RN/16/05",
- keywords = "genetic algorithms, genetic programming, genetic improvement, theory, SBSE, software engineering, mutation testing, search, heuristic methods",
-
URL = "
http://www.cs.ucl.ac.uk/fileadmin/UCL-CS/research/Research_Notes/rn1605.pdf",
-
URL = "
https://discovery.ucl.ac.uk/id/eprint/1500877/",
-
data_url = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ppsn2016/triangle/",
-
code_url = "https://github.com/wblangdon/triangle",
- size = "2 pages",
- abstract = "Trying all hopeful high order mutations to source code shows none of the first order schema of triangle software engineering benchmark are deceptive. Indeed these unit building blocks lead to all global optima. Suggesting program improvements may not be as hard to find as is often assumed.",
-
notes = "GISMO data set
http://www.cs.ucl.ac.uk/staff/W.Langdon/ppsn2016/triangle/
(URL corrected Nov 2020, see also
http://www.cs.ucl.ac.uk/staff/W.Langdon/egp2017/triangle
)
See also \cite{langdon:RN1604} and \cite{langdon:2017:EuroGP}",
