Multi-threaded Memory Efficient Crossover in C++ for Generational Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{langdon:2020:small_mem_ga_2pages,
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author = "W. B. Langdon",
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title = "Multi-threaded Memory Efficient Crossover in {C++} for
Generational Genetic Programming",
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journal = "SIGEVOLution newsletter of the ACM Special Interest
Group on Genetic and Evolutionary Computation",
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year = "2020",
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volume = "13",
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number = "3",
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pages = "2--4",
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month = oct,
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keywords = "genetic algorithms, genetic programming, GPquick",
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ISSN = "1931-8499",
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URL = "https://evolution.sigevo.org/issues/HTML/sigevolution-13-3/home.html#h.30uzid2znkta",
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DOI = "doi:10.1145/3430913.3430914",
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size = "2 pages",
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abstract = "C++ code snippets from a multi-core parallel
memory-efficient crossover for genetic programming are
given. They may be adapted for separate generation
evolutionary algorithms where large chromosomes or
small RAM require no more than M + (2 times nthreads)
simultaneously active individuals. This article
summarises the full version at: arXiv 2009.10460.",
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notes = "Long version in \cite{langdon:2020:small_mem_ga}. Code
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/efficient_memory/
Also memory efficient generational version of TinyGP
\cite{poli04:_tinyg}
also known as \cite{10.1145/3430913.3430914}",
- }
Genetic Programming entries for
William B Langdon
Citations