Bayesian Optimization versus Response Surface Methodology for Noisy Simulation Optimization in Operations Research Settings: an EV Charging Infrastructure Application

Project Details

• Student(s): Caline Chedid, Karl Aziz, Reya Kachkouche
• Advisor(s): Dr. Maha Yazbeck
• Department: Industrial & Mechanical
• Academic Year(s): 2025-2026

Abstract

This project compares two simulation optimization approaches for solving noisy operations research problems. Using an electric vehicle charging infrastructure application, the study examines their effectiveness in identifying strong system configurations under uncertainty.