eprintid: 10100131
rev_number: 16
eprint_status: archive
userid: 608
dir: disk0/10/10/01/31
datestamp: 2020-06-10 09:42:21
lastmod: 2021-12-14 23:27:03
status_changed: 2020-06-10 09:42:21
type: proceedings_section
metadata_visibility: show
creators_name: Langdon, WB
creators_name: Banzhaf, W
title: Continuous Long-Term Evolution of Genetic Programming
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F48
note: © 2019 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license (https://creativecommons.org/licenses/by/4.0/)
abstract: We evolve floating point Sextic polynomial populations of genetic programming binary trees for up to a million generations. Programs with almost 400 000 000 instructions are created by crossover. To support unbounded Long-Term Evolution Experiment LTEE GP we use both SIMD parallel AVX 512 bit instructions and 48 threads to yield performance of up to 149 billion GP operations per second, 149 giga GPops, on a single Intel Xeon Gold 6126 2.60 GHz server.
date: 2019-07-15
date_type: published
publisher: MIT Press
official_url: https://doi.org/10.1162/isal_a_00191
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1788128
doi: 10.1162/isal_a_00191
lyricists_name: Langdon, William
lyricists_id: WBLAN93
actors_name: Langdon, William
actors_id: WBLAN93
actors_role: owner
full_text_status: public
series: Artificial Life Conference Proceedings
publication: Proceedings of the 2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges, ALIFE 2019
volume: 2019
place_of_pub: Newcastle, UK
pagerange: 388-395
event_title: ALIFE 2019: The 2019 Conference on Artificial Life
book_title: ALIFE 2019: Proceedings of the Artificial Life Conference 2019
editors_name: Fellermann, H
editors_name: Bacardit, J
editors_name: Goñi-Moreno, Á
editors_name: Füchslin, RM
citation:        Langdon, WB;    Banzhaf, W;      (2019)    Continuous Long-Term Evolution of Genetic Programming.                     In: Fellermann, H and Bacardit, J and Goñi-Moreno, Á and Füchslin, RM, (eds.) ALIFE 2019: Proceedings of the Artificial Life Conference 2019.  (pp. pp. 388-395).  MIT Press: Newcastle, UK.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10100131/1/Langdon_2019_alife.pdf