Network Optimization Using Linear Programming and Regression
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Date
2016-06
Authors
Lee, Jason
Journal Title
Journal ISSN
Volume Title
Publisher
University of Oregon
Abstract
The purpose of this research is to explore the synergistic application of linear programming,
regression, and computer science to solve practical economic problems.
In particular, this research focuses on network optimization problems in which the
aim is to maximize revenue and minimize production, transportation, and other
costs by using historical information to predict future market behavior. The first
half of the thesis provides background information on linear programming and regression
for readers who may not be familiar with the subjects. The remaining
sections of this thesis cover the modeling process and computer programming design,
where the variables of interest are identified, arranged into an appropriate
form, and MATLAB programming is utilized to carry out linear programming and
regression operations to provide an optimized solution for the network using given
historical data and market conditions.
Description
30 pages. A thesis presented to the Department of Mathematics and the Clark Honors College of the University of Oregon in partial fulfillment of the requirements for degree of Bachelor of Arts, Spring 2016.
Keywords
Mathematics, Optimization, Regression, Linear Programming, MATLAB, Logistics, Modeling