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Selection Methods of Genetic Algorithms

By Ryan Champlin

Abstract

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: oai:digitalcommons.olivet.edu:csis_stsc-1004

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