I do not understand the question.
1. If you divide by 10^6 the criteria (rescaling) it will handle the optimization in a much more efficient way.
2. Probably if you increase the decimal format (long g) it will be easier to see on screen.
3. Now, if you run GA two different times, the random seed will be different and the results will be different. In theory, after a large number of generations, the Pareto front will converge to a similar shape, but this depends on the problem.
Hope this helps