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Genetic algorithms in astronomy and astrophysics

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arxiv 1202.1643 v1 pith:JRC52SDH submitted 2012-02-08 astro-ph.IM cs.NE

classification astro-ph.IMcs.NE
keywords algorithmsastronomyastrophysicsgeneticoptimisationproblemsbiologicalbrief
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Stellar winds of O-type stars traced by high ionization fine-structure emission lines with JWST/MIRI

    astro-ph.SR 2026-06 unverdicted novelty 7.0 of 10

    JWST/MIRI detects [Ne V] 14.3 micron emission from O-star winds in 5 of 22 observed stars, enabling wind speed and mass-loss rate estimates even in weak-wind regimes.

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