Online Course Catalog
IE 514 B - Optimiz Mthds Lrg Scale Ntwk
Spring 2027
| Title | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|
| Optimiz Mthds Lrg Scale Ntwk | B | 79132 | ONL | 4 | - | Lavanya Marla |
Course Description
The course will cover topics related to optimization over large-scale networks. We will look at data-driven methodologies by which very large-scale optimization problems, primarily integer programs, can be solved. We will consider motivations from application areas such as airline scheduling, vehicle routing, and communications. Topics covered include shortest paths; multi-commodity flows; decomposition techniques; Lagrangean relaxation; set-covering and set-partitioning problems (with special characteristics); column generation and branch-and-price and cut; composite variables; large-scale neighborhood search techniques; modeling robustness and uncertainty; stochastic modeling in large-scale integer programs; data-driven optimization. The course will include real-world modeling examples from applications including vehicle routing, freight logistics, and airline schedule planning.
Credit Hours
4 hours
Prerequisites
Undergraduate degree and IE 411 or the equivalent.
Subject Area
- Industrial and Enterprise Systems Engineering