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Selection Methods of Genetic Algorithms

By Ryan Champlin


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

Topics: AI, Genetic Algorithms, Computer Sciences
Publisher: Digital Commons @ Olivet
Year: 2018
OAI identifier:

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