Genetic algorithms in astronomy and astrophysics
It provides a brief overview for researchers in astronomy and astrophysics, but it is incremental as it reviews existing methods without presenting new results.
This review paper introduces genetic algorithms (GAs) and outlines their utility in astronomy and astrophysics, highlighting their robustness and versatility for solving optimization problems in these fields.
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.