The Optimization module is designed to provide students with knowledge and the ability to apply and analyze issues related to single-objective optimization, multi-objective optimization, and algorithms. Specifically, students will learn linear programming problem models and corresponding dual problems, transportation problem models, empty vehicle problem models, the concept of non-dominant sets in multi-objective optimization, Pareto optimization and algorithms.
The subject is based on Mathematics for Business and Economics, especially Linear Algebra. It is the mathematical foundation for making optimal decisions, post-optimal analysis, determining equilibrium prices between supply and demand through the application of duality theorems, etc. From there, it is applied in the study of economics subjects.