What are the limitations of genetic algorithms?
Genetic algorithms can be limited by factors like premature convergence, high computational cost, and difficulty in defining fitness functions.
Can you explain what premature convergence means?
Premature convergence occurs when a genetic algorithm converges to a suboptimal solution too quickly, missing better solutions.
How can we overcome these limitations?
To overcome these limitations, techniques like maintaining diversity in the population and using adaptive mutation rates can help.
Are there specific problems where genetic algorithms perform poorly?
Yes, genetic algorithms may struggle with problems that require precise solutions or have a very small search space.
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