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Genetic algorithms in astronomy and astrophysics (1202.1643v1)
Published 8 Feb 2012 in astro-ph.IM and cs.NE
Abstract: Genetic algorithms (GAs) emulate the process of biological evolution, in a computational setting, in order to generate good solutions to difficult search and optimisation problems. GA-based optimisers tend to be extremely robust and versatile compared to most traditional techniques used to solve optimisation problems. This review paper provides a very brief introduction to GAs and outlines their utility in astronomy and astrophysics.