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Paper: Modeling Interacting Galaxies Using a Parallel Genetic Algorithm
Volume: 197, XVth IAP Meeting Dynamics of Galaxies: From the Early Universe to the Present
Page: 357
Authors: Theis, Christian; Harfst, Stefan
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.
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