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.
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Drew Hall
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Jon Hammond
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Peyton Radford
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Tim Tasse
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Shane Thompson
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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.