Is this project an undergraduate, graduate, or faculty project?
Undergraduate
Project Type
individual
Campus
Daytona Beach
Authors' Class Standing
Julia Gorthey, Junior
Lead Presenter's Name
Julia Gorthey
Lead Presenter's College
DB College of Engineering
Faculty Mentor Name
Bryan Watson
Abstract
Swarm intelligence in animals have been used to design previous optimization methods. One optimization method, Ant Colony Optimization uses computer simulated pheromone trails formed by ants to find the most optimal path. Scholars have not applied underwater swarm intelligence behavior for optimization algorithms. My key research question is how can underwater swarm activity inspire an optimization or consensus algorithm? Since beginning work, the topic has pivoting from food pathfinding to colony intruder response using snapping shrimp. The behavior of the colony is will be used to create and test a biological model and lead to development of an algorithm for individual triggered group response. The work can be applicable to a variety of real-world system with individual systems trigger a group response for help.
Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?
Yes, SURF
Developing an Optimization Algorithm for Snapping Shrimp Communication
Swarm intelligence in animals have been used to design previous optimization methods. One optimization method, Ant Colony Optimization uses computer simulated pheromone trails formed by ants to find the most optimal path. Scholars have not applied underwater swarm intelligence behavior for optimization algorithms. My key research question is how can underwater swarm activity inspire an optimization or consensus algorithm? Since beginning work, the topic has pivoting from food pathfinding to colony intruder response using snapping shrimp. The behavior of the colony is will be used to create and test a biological model and lead to development of an algorithm for individual triggered group response. The work can be applicable to a variety of real-world system with individual systems trigger a group response for help.