This project is a group assignment for CS457 meant to simulate a bee colony algorithm to solve multi-objective optimization problem. We have decided to attempt to find the most optimal course schedule for a prospective computer science student given weights for what they deem most desireable.

• Drew Hall

• Jon Hammond

• Peyton Radford

• Tim Tasse

• Shane Thompson

• Professor.py: Create professors to be used by other classes

• Class.py: Create the classes, sessions, and lists pre-reqs and their associated professor

• Schedule.py: Holds the list of sessions (derived from classes) and checks for validity and fitness

• EliteBee.py: Creates the initial list of classes a student may take, not sessions!

• ScoutBee.py: Starts creating schedules of sessions, based on lists produced by elite bees

• BeeColony.py: Kicks off all of the processes

This project will be multi-threaded to ensure the highest efficiency since this problem will quickly escalate beyond a reasonable time during runtime.