Document Type


Publication Date

Spring 3-1-2018

Scholarship Domain(s)

Scholarship of Discovery


The goal of the paper is to exhibit how four different types of selections work within genetic algorithms. It goes through what a genetic algorithm is, how the different forms of selection work, and how they were tested. I ran each of the four selection methods by creating three programs that tested different aspects. One showed the difference between brute force, one showed how they solved a NP problem, and one showed how they solved a game theory problem. Each of the selections performed well.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.