A Genetic Improvement Parameter Benchmark: rand\_malloc.c

Created by W.Langdon from gp-bibliography.bib Revision:1.8620

@InProceedings{Langdon:2025:UKCI,

• author = "William B. Langdon",
• title = "A Genetic Improvement Parameter Benchmark: rand\_malloc.c",
• booktitle = "24th UK Workshop on Computational Intelligence (UKCI 2025)",
• year = "2025",
• editor = "Emma Hart and Sarah L. Thomson and Zhiyuan Tan and Tomas Horvath and Neil Urquhart and Kehinde Babaagba",
• address = "Edinburgh Napier University",
• month = "3--5 " # sep,
• keywords = "genetic algorithms, genetic programming, Genetic Improvement, automatic programming, software optimisation, data structures, dh_view, M_MMAP_THRESHOLD, evolutionary computing, fitness landscapes, SBSE, search based software engineering, Magpie, CMA-ES: Short Paper",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2025_UKCI.pdf",
• code_url = "https://github.com/wblangdon/rand_malloc",
• slide_url = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ukci2025/Langdon_2025_UKCI_slides.pdf",
• size = "6 pages",
• abstract = "We describe a new benchmark, https://github.com/wblangdon/rand_malloc, for GI via parameter tuning, and demonstrate it using heap performance data collected via our modified Valgrind DHAT from Python/C++ simulation tool gem5 with the GNU gcc compiler's glibc malloc. As well as GI applications, rand_malloc might help develop, stress test, tune, and benchmark other dynamic memory managers.",
• notes = "To be published after the conference",

}

Genetic Programming entries for William B Langdon

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