The optimal course bidding strategy under limited resource constraint using genetic algorithm

In a course bidding system, there are more students than the number of available seats for course. To enroll course, have to bid using their tokens and system will fill up with top bidders. Since limit tokens, they allocate wisely. this paper, we apply genetic algorithm search best way such that it maximizes probability successful enrollment. estimate probability, train logistic regression on registration data model achieves 77.11% accuracy. By synthesized dataset, compare effectiveness suggested by other approaches as heuristics excel build-in solver. The result shows 69 out 78 higher average enrollment when algorithm.