What is elitism in genetic algorithms?
Elitism in genetic algorithms is a strategy where the best-performing individuals are preserved for the next generation.
How does elitism affect the performance of genetic algorithms?
Elitism can improve convergence speed and solution quality by ensuring that the best solutions are not lost.
Are there any downsides to using elitism?
Yes, it can lead to premature convergence, where the population becomes too similar and diversity is lost.
Can elitism be combined with other strategies?
Absolutely! Elitism can be combined with mutation and crossover strategies to maintain diversity while preserving quality.
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