Xin Xie
Pronouns: He/him
Research Mentor(s): Sandy Zalmout
Research Mentor School/College/Department: ICPSR / ISR
Program:
Authors: Xie Xin
Session: Session 6: 3:40 pm – 4:30 pm
Poster: 64
Abstract
This project is embarked upon to address the growing complexities and challenges in the realm of multi-objective optimization (MOO), a critical area in diverse fields such as engineering, economics, and data science. MOO deals with optimizing simultaneously multiple conflicting objectives, and is pivotal in scenarios where trade-offs between these objectives must be meticulously managed. The advent of this research is motivated by the need for more nuanced solutions in MOO, especially in the context of real-world applications where decision-maker preferences play a crucial role.
