Genetic algorithms in astronomy and astrophysics

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.

# Metaheuristic Optimization Algorithms Research # Computer Science # Evolutionary Algorithms and Applications # Stellar, planetary, and galactic studies # Physics and Astronomy

Vinesh Rajpaul (2012). "Genetic algorithms in astronomy and astrophysics". arXiv (Cornell University). https://doi.org/10.48550/arxiv.1202.1643