Note

This program is for educational purposes only. It is not intended to be used for medical or scientific research.

This program simulates the spread of a pandemic using a genetic algorithm. The simulation represents a population of individuals, each with a genotype and an infection status. The genotype is a real number between 0 and 1, and determines the individual's susceptibility to infection. The infection status is a Boolean value, where True represents an infected individual and False represents a healthy individual.

The following parameters can be modified to customize the simulation:

POPULATION_SIZE: The number of individuals in the population.

INFECTION_RATE: The probability that an individual will become infected if exposed to the virus.

MUTATION_RATE: The probability that an individual's genotype will mutate during reproduction.

GENERATIONS: The number of generations to simulate.

The simulation includes a simple visualization of the population, where healthy individuals are represented by blue dots and infected individuals are represented by red dots. The size of the dot represents the individual's genotype, with larger dots indicating individuals that are more susceptible to infection.

To run the simulation, simply run the pandemic_simulation.py file. The simulation will run for the specified number of generations and display the population visualization for each generation.

This program requires Python 3 and the following packages: matplotlib, and random.