Abstract
This thesis visualizes a complex constraint satisfaction problem (CSP), with basis in automated manufacturing, using the methods and techniques available in swarm intelligence (SI). Included is an in-depth analysis of swarms, constraint satisfaction, and the results of visualising a simple and complex CSP using Python. The final program is able to use a swarm of agents to create multiple pathways between fixed locations on a screen.
Advisor
Palmer, Daniel
Department
Computer Science
Recommended Citation
Rossi, Kyle N., "Visualizing Constraint Satisfaction Problems Using Swarm Intelligence" (2023). Senior Independent Study Theses. Paper 10550.
https://openworks.wooster.edu/independentstudy/10550
Disciplines
Artificial Intelligence and Robotics
Keywords
Swarm Intelligence, Constraint Satisfaction Problems, Artificial Intelligence
Publication Date
2023
Degree Granted
Bachelor of Arts
Document Type
Senior Independent Study Thesis
External Link
https://github.com/Kyle776R/senior-is-final
© Copyright 2023 Kyle N. Rossi