Month/Year of Graduation
5-2021
Degree Name
Bachelor of Science (B.S.)
Department
Computer Science
First Advisor
Dr. Brian Ricks
Abstract
Genetic Algorithms find wide use in optimization problems across many fields of research, including crowd simulation. This paper proposes that genetic algorithms could be used to create better floor plans for hospital emergency rooms, potentially saving critical time in high risk situations. The genetic algorithm implemented makes use of a hospital-specific crowd simulation to accurately evaluate the effectiveness of produced layouts. The results of combining genetic algorithms with a crowd simulation are promising. Future work may improve upon these results to produce better, more optimal hospital floor plans.
Recommended Citation
Ramsey, Alex, "Evolving Efficient Floor Plans For Hospital Emergency Rooms" (2021). Theses/Capstones/Creative Projects. 131.
https://digitalcommons.unomaha.edu/university_honors_program/131
Included in
Architectural Technology Commons, Interior Architecture Commons, Theory and Algorithms Commons