Description
The ProblemA genetic algorithm consists of population of individuals. To introduce variation into the population, we use mutation and crossover. Your Task 1. Create a function that mutates an individual. The function should accept as input an individual and a mutation rate (i.e., the probability that a bit will flip) and should produce a modified individual as output. For example: 1100011 mutates to 1101011 2. Create a function that performs crossover on two individuals. The function should accept two individuals as input. It should then select two random points in their bitstrings and cross them over to produce two new individuals. 1111111 and 0000000 produce 1100011 and 0011100 1
