Modeling Interacting Galaxies Using a Parallel Genetic Algorithm
Astrophysics
2007-05-23 v1
Abstract
Modeling of interacting galaxies suffers from an extended parameter space prohibiting traditional grid based search strategies. As an alternative approach a combination of a Genetic Algorithm (GA) with fast restricted N-body simulations can be applied. A typical fit takes about 3-6 CPU-hours on a PentiumII processor. Here we present a parallel implementation of our GA which reduces the CPU-requirement of a parameter determination to a few minutes on 100 nodes of a CRAY T3E.
Keywords
Cite
@article{arxiv.astro-ph/9910179,
title = {Modeling Interacting Galaxies Using a Parallel Genetic Algorithm},
author = {Christian Theis and Stefan Harfst},
journal= {arXiv preprint arXiv:astro-ph/9910179},
year = {2007}
}
Comments
To appear in "Galaxy dynamics: from the early universe to the present", ASP Conference Series, F. Combes, G.A. Mamon, V. Charmandaris (eds.). LaTeX, 2 pages, 1 postscript figure, newpasp.sty included