Genetic algorithms (GAs) are a type of evolutionary algorithm that mimic the process of natural selection to solve optimization and search problems. They use mechanisms inspired by biological evolution, such as selection, crossover, and mutation. In the context of epidemiology, GAs can help to model the spread of diseases, optimize interventions, and predict future outbreaks.
