The mesh adaptive direct search algorithm for granular and discrete variables
The mesh adaptive direct search (Mads) algorithm is designed for blackbox optimization
problems for which the functions defining the objective and the constraints are typically the …
problems for which the functions defining the objective and the constraints are typically the …
Mixed-integer simulation optimization for multi-echelon inventory problems with lost sales
SC Tsai, H Wang, LH Hung - Journal of the Operational Research …, 2023 - Taylor & Francis
We propose a mixed-integer simulation optimization framework for solving multi-echelon
inventory problems with lost sales. We want to seek optimal settings of the order-up-to levels …
inventory problems with lost sales. We want to seek optimal settings of the order-up-to levels …
Simulation optimization in security screening systems subject to budget and waiting time constraints
SC Tsai, H Chen, H Wang… - Naval Research Logistics …, 2021 - Wiley Online Library
Motivated by the NEXUS program between the US‐Canada border, we consider a security
screening process where travelers such as cars and trucks are assigned to a selectee or …
screening process where travelers such as cars and trucks are assigned to a selectee or …
Simulation Learning and Optimization: Methodology and Applications
Due to the rapid advancement of computational power and the Internet of Things (IoT)
together with recent developments in digital-twin and cyber-physical systems, the integration …
together with recent developments in digital-twin and cyber-physical systems, the integration …