EMGT 581 - Multi-Objective Optimization
- Credit Hours: 4R-0L-4C
- Term Available: -
- Graduate Studies Eligible: Yes
- Prerequisites: Junior Standing
- Corequisites: None
This course will consider how humans make optimal decisions in an uncertain environment, when they have to simultaneously satisfy multiple objectives/goals under limited resources. Specifically we will consider: how to structure multi-objective problems, different methods and theories of quantifying preferences over multiple objectives a priori or a posteriori, multi-objective optimization methods without preference specification, multi-attribute utility theory, value trade-offs, risk attitudes, and other topics like fuzzy methods. We will also consider the applications of these theories and methods to various problems, including managerial and operational business issues, public policy issues, development of new businesses, etc. A student may not receive credit for both EMGT481 and EMGT581. Students enrolled in EMGT581 must complete a project not covered in EMGT481.