Genetic algorithms in astronomy and astrophysics
Instrumentation and Methods for Astrophysics
2012-02-09 v1 Neural and Evolutionary Computing
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.
Keywords
Cite
@article{arxiv.1202.1643,
title = {Genetic algorithms in astronomy and astrophysics},
author = {Vinesh Rajpaul},
journal= {arXiv preprint arXiv:1202.1643},
year = {2012}
}
Comments
6 pages, 3 figures. Review paper in Proc. SAIP2011 (ISBN: 978-1-86888-688-3), ed. I. Basson and A. E. Botha, available online at http://www.saip.org.za