Epidemiology deals with complex systems that can be difficult to model using traditional methods. GAs offer a robust alternative by providing flexible, adaptable models. They are particularly useful for:
1. Optimizing Resource Allocation: GAs can help determine the best way to allocate limited resources, like vaccines or medical personnel, to minimize disease spread. 2. Parameter Estimation: They can estimate parameters in complex epidemiological models, which are difficult to determine otherwise. 3. Predictive Modeling: GAs can be used to predict future disease outbreaks based on current data, helping in proactive public health planning.
