Modeling Interacting Galaxies Using a Parallel Genetic Algorithm

Astronomy and Astrophysics – Astrophysics

Scientific paper

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To appear in "Galaxy dynamics: from the early universe to the present", ASP Conference Series, F. Combes, G.A. Mamon, V. Charm

Scientific paper

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.

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