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 selection, the algorithm evaluates the fitness of each candidate solution and selects the best ones to reproduce, ensuring that the most promising solutions are carried forward.

What role does mutation play in genetic algorithms?

Mutation introduces random changes to some individuals in the population, helping to maintain genetic diversity and explore new areas of the solution space.

Are genetic algorithms suitable for all types of problems?

Not necessarily. They work well for complex optimization problems but may not be the best choice for simpler or well-defined problems where exact solutions are available.