Date of Award
Master of Science
Dr. Robert Trenary
Dr. Ben Pinkowski
Dr. Donna Kaminski
Masters Thesis-Open Access
This thesis traces the development of a neural net model which will solve the assignment problem. In addition, the neural net model was compared for optimal performance with four other algorithms: two greedy methods and two well-known solutions, Vogel's Approximation Method (VAM) and the Hungarian method. Assignments were made to randomly generated problems using each method and the results were compared.
The findings from this testing indicated that: (a) the assignments selected by the neural net model were closer to optimal than the two greedy methods and VAM, and (b) the assignments selected by the neural net were not optimal. It was concluded that the neural net model, although not optimal, could have useful applications.
Moss, Philip Paul, "Development of a Neural Net Model for the Assignment Problem" (1990). Master's Theses. 1090.