genetic algorithms

How Do Genetic Algorithms Work in Epidemiology?

A typical GA involves the following steps:
1. Initialization: Create an initial population of potential solutions to the problem.
2. Selection: Evaluate the fitness of each solution and select the best-performing ones.
3. Crossover: Combine pairs of solutions to create new offspring.
4. Mutation: Introduce random changes to some of the offspring.
5. Replacement: Replace the old population with the new one.
6. Iteration: Repeat steps 2-5 until a satisfactory solution is found.
In epidemiology, these solutions could represent different strategies for disease control, such as vaccination schedules or quarantine measures.

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