- author = "William B. Langdon and Bobby R. Bruce",
- title = "The gem5 {C++} glibc Heap Fitness Landscape",
- booktitle = "14th International Workshop on Genetic Improvement @ICSE 2025",
- year = "2025",
- editor = "Aymeric Blot and Vesna Nowack and Penn {Faulkner Rainford} and Oliver Krauss",
- pages = "3--10",
- address = "Ottawa",
- month = "27 " # apr,
- keywords = "genetic algorithms, genetic programming, Genetic Improvement, SBSE, computer program tuning, parameter search landscape, memory reduction, GNU glibc heap management",
- isbn13 = "979-8-3315-0193-8",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2025_GI.pdf",
-
URL = "
https://geneticimprovementofsoftware.com/events/icse2025#accepted-papers",
-
DOI = "
doi:10.1109/GI66624.2025.00010",
-
video_url = "https://www.youtube.com/watch?v=Bi-zMtpSVzI&list=PLI8fiFpB7BoL5jUkvndWvSEywsu8dMdIo&index=5",
-
video_url = "https://gpbib.cs.ucl.ac.uk/gi2025/gi_2025_slides/langdon_icse2025.mp4",
-
slide_url = "https://gpbib.cs.ucl.ac.uk/gi2025/gi_2025_slides/langdon_icse2025.pdf",
- size = "8 pages",
- abstract = "Using the language independent genetic improvement tool MAGPIE (Machine Automated General Performance Improvement via Evolution of software) and logarithmic sampling, we measure the parameter fitness landscape when optimising the GNU glibc heap management of a million line C++ application, gem5. The malloc_info landscape is far smoother than is commonly assumed and savings of 11 percent with no loss of runtime speed are readily obtained by both Magpie and CMA-ES.",
-
notes = "See also \cite{Langdon:2025:evostarLBA}
GI @ ICSE 2025, part of \cite{blot:2025:GI}",
