What are genetic algorithms and how do they work?

What are genetic algorithms and how do they work?

Genetic algorithms are optimization techniques inspired by natural selection. They use processes like selection, crossover, and mutation to evolve solutions to problems.

Can you explain the process of selection in genetic algorithms?

Sure! In the selection process, individuals from the population are chosen based on their fitness levels. The fittest individuals are more likely to be selected to reproduce.

What role does mutation play in genetic algorithms?

Mutation introduces random changes to individuals, helping to maintain genetic diversity in the population and prevent premature convergence.

How do you determine the fitness of an individual?

Fitness is determined by a fitness function, which evaluates how well an individual solves the problem at hand. The better the solution, the higher the fitness score.