Ok so I have a view ideas in mind for a project I was planning on doing involving genetic algorithms for my high school science fair class. I do have 3 mentors one a mathematician, a computer scientist who focuses on GAs, and a physicist who focuses on nano structures. here where I live, but before I go and talk to the GA mentor about my project in genetic algorithms I want to check on here and see if it would be even possible. So as to not make a fool of myself. So I have all of the background covered mostly I am just not quite well versed enough in GAs to decide how feasible this project is. Well my ideas may not be very good but if you steal them I will find you! No thats more of a joke, but if by some chance they happen to be good please don't. Project 1) Ok so I can across a problem that scientists currently facing with the formation of multi-layered graphene structures. And I though hmm I could use a GA the find possible solutions to this. By creating a population of methods for its formation and optimize or find a new solution. This is were I am unsure. Can you use this as the population? How will I apply mutations? How will I set the parameters for selection? In what ways it could go wrong? If you need more details about the project just ask. Or would you guys suggest I do some non-linear programming to set up an equation. Then write a program to brute force a feasible approximation and work from there. Oh yes I should add that I do have a way to test my possible solutions. I am working on constructing my own Scanning Probe Microscope. Thank YOU!!!!!!