Using the PyGAD Python 3 library, we’ll discuss a few examples that use both random and adaptive mutation. In this tutorial, we’ll see why mutation with a fixed number of genes is bad, and how to replace it with adaptive mutation. Traditionally, the same number of genes are mutated across all chromosomes, regardless of their fitness. The mutation is applied to a fixed number of genes. solutions) in order to increase quality (i.e. It makes random changes in the chromosomes (i.e.
But, to do so, the algorithm’s parameters need a bit of adjusting. It uses Darwin’s theory of natural evolution to solve complex problems in computer science. The genetic algorithm is a popular evolutionary algorithm.
