EMGT 481 - Multi-Objective Optimization
- Credit Hours: 4R-0L-4C
- Term Available: -
- Graduate Studies Eligible: No
- Prerequisites: None
- 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.