- author = "W. B. Langdon",
- title = "A Trillion Genetic Programming Instructions per Second",
- howpublished = "ArXiv",
- year = "2022",
- month = "6 " # may,
- keywords = "genetic algorithms, genetic programming, bottom up incremental evaluation, Failed Disruption Propagation, FDP, infection, and execution, SBSE, Posix parallel threads, SIMD AVX vector instructions, GPquick",
- archiveprefix = "arXiv",
- primaryclass = "cs.NE",
-
URL = "
https://arxiv.org/abs/2205.03251",
-
code_url = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/GPinc.tar.gz",
- size = "9 pages",
- abstract = "We summarise how a 3.0 GHz 16 core AVX512 computer can interpret the equivalent of up to on average 1103370000000 GPop/s. Citations to existing publications are given. Implementation stress is placed on both parallel computing, bandwidth limits and avoiding repeated calculation. Information theory suggests in digital computing, failed disruption propagation gives huge speed ups as FDP and incremental evaluation can be used to reduce fitness evaluation time in phenotypically converged populations. Conversely FDP may be responsible for evolution stagnation. So the wider Evolutionary Computing, Artificial Life, Unconventional Computing and Software Engineering community may need to avoid deep nesting.",
-
notes = "Slides
http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2022/langdon_2022_EvoSoft_slides.pdf
presented at
https://dev.heuristiclab.com/trac.fcgi/wiki/EvoSoft
CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives
arXiv:submit/4295141 [cs.NE] 6 May 2022",
