A Genetic Improvement Parameter Benchmark: rand\_malloc.c
Created by W.Langdon from
gp-bibliography.bib Revision:1.8444
- @InProceedings{Langdon:2025:UKCI,
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author = "William B. Langdon",
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title = "A Genetic Improvement Parameter Benchmark:
rand\_malloc.c",
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booktitle = "24th UK Workshop on Computational Intelligence (UKCI
2025)",
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year = "2025",
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editor = "Emma Hart and Sarah L. Thomson and Zhiyuan Tan and
Tomas Horvath and Neil Urquhart and Kehinde Babaagba",
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address = "Edinburgh Napier University",
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month = "3--5 " # sep,
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note = "Forthcomming",
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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",
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URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/Langdon_2025_UKCI.pdf",
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code_url = "
https://github.com/wblangdon/rand_malloc",
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size = "6 pages",
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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.",
- }
Genetic Programming entries for
William B Langdon
Citations