Cosmological parameter estimation with Genetic Algorithms

This paper provides an overview of genetic algorithms as a powerful tool in optimization for single and multi-modal functions. We illustrate this technique using analytical examples and then, we explore how genetic algorithms can be used as a parameter estimation tool in cosmological models to maximize the likelihood function. Finally, we discuss potential future applications of these algorithms in the cosmological field.