Can you explain how selection works in genetic algorithms?
Sure! Selection in genetic algorithms is the process of choosing the fittest individuals from a population to create offspring for the next generation.
What criteria are used to determine the 'fittest' individuals?
The 'fittest' individuals are typically determined based on a fitness function, which evaluates how well each individual solves the problem at hand.
Are there different methods of selection?
Yes, common methods include roulette wheel selection, tournament selection, and rank-based selection, each with its own advantages.
How does roulette wheel selection work?
In roulette wheel selection, individuals are assigned a probability of being selected based on their fitness, similar to a roulette wheel where higher fitness means a larger slice of the wheel.
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