Modeling Interacting Galaxies Using a Parallel Genetic Algorithm

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dc.creatorTheis, Christian
dc.creatorHarfst, Stefan
dc.date1999-10-10
dc.date.accessioned2026-07-07T02:33:46Z
dc.date.available2026-07-07T02:33:46Z
dc.descriptionModeling 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.
dc.descriptionTo 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
dc.identifierhttps://arxiv.org/abs/astro-ph/9910179
dc.identifierhttp://arxiv.org/abs/astro-ph/9910179
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/14978
dc.subjectAstrophysics
dc.titleModeling Interacting Galaxies Using a Parallel Genetic Algorithm
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