Optimizing College Schedules with Genetic Algorithms
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Authors
Johnson, Ryan
Date of Issue
2024
Type
Presentation
Language
en_US
Subject Keywords
Other Titles
Abstract
Genetic algorithms are a unique and powerful way to find solutions to problems so complex they are impossible to solve by hand. These algorithms find their inspiration in the field of biology, based upon the concepts of natural selection. Using processes that mimic mating, gene pools, and mutation, these algorithms find a solution close to, if not exactly, an optimal solution. One practical use of these genetic algorithms is to provide better scheduling services for a college attempting to assign courses to classrooms and available time slots. In this project, I will expand upon a basic genetic algorithm to demonstrate how to create a better semester course schedule for Carroll College.
Description
Abstract only.