Faster Genetic Programming GPquick via multicore and Advanced Vector Extensions
Neural and Evolutionary Computing
2019-02-26 v1
Abstract
We evolve floating point Sextic polynomial populations of genetic programming binary trees for up to a million generations. Programs with almost four hundred million 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 139 billion GP operations per second, 139 giga GPops, on a single Intel Xeon Gold 6126 2.60GHz server.
Cite
@article{arxiv.1902.09215,
title = {Faster Genetic Programming GPquick via multicore and Advanced Vector Extensions},
author = {W. B. Langdon and W. Banzhaf},
journal= {arXiv preprint arXiv:1902.09215},
year = {2019}
}
Comments
20 pages, 17 figures