- author = "W. B. Langdon",
- title = "Multi-threaded Memory Efficient Crossover in {C++} for Generational Genetic Programming",
- journal = "SIGEVOLution newsletter of the ACM Special Interest Group on Genetic and Evolutionary Computation",
- year = "2020",
- volume = "13",
- number = "3",
- pages = "2--4",
- month = oct,
- keywords = "genetic algorithms, genetic programming, GPquick",
- ISSN = "1931-8499",
-
URL = "
https://evolution.sigevo.org/issues/HTML/sigevolution-13-3/home.html#h.30uzid2znkta",
-
DOI = "
doi:10.1145/3430913.3430914",
- size = "2 pages",
- 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.",
-
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}",
