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Other Methods to Combat Convergence

Explore strategies to prevent premature convergence in genetic algorithms, including mutation techniques such as flip, scramble, and Gaussian mutations. Understand how selection and crossover impact diversity and learn how to adjust mutation aggressiveness for different problem types. This lesson helps you apply these methods to maintain genetic variety and improve algorithm performance.

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Alternative strategies

Mutation is the most common method for preventing premature convergence in the real world. This is largely because it’s so effective.

While mutation is the most common method of preventing premature convergence, other methods exist. In the chapter Selecting the Best, we saw how important it was to select ...