For clustering data using a genetic algorithm, consider the representation scheme where and individual $($chromosome$)$ represents the actual cluster centroids, as on slide $18$ of EAforDA.pdf$.$ Consider the following mutation strategy, where the value in each gene of the chromosome is changed by adding noise to the current values, where the noise is sampled from a uniform distribution in the range $[0,0\mathrm{.}1].$ This is a good approach to mutation for this clustering problem, because very small changes are affected, which will not disrupt current good solutions.

Question $3$Select one:

True

False