IEEE

A Hyperheuristic Approach to Multi-Echelon Hub and Routing Optimization: Model, Valid Inequalities, and Case Study

Abstract: Efficient logistics management is critical in the modern global supply chain, and this study introduces an advanced hyperheuristic approach to the Multi-Echelon Hub and Routing Optimization ...
GitHub

Model-Based Clustering and Variable Selection for Multivariate Count Data

Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...
Frontiers

Steady-state 1D two-phase flow differentiable modeling: learning from field data and inverse problem applications in oil wells

Accurately modeling steady-state two-phase flow is critical for the design and operation of systems in the oil and gas industry; however, traditional models often struggle to adapt to specific field ...
IEEE

LMI-Based Robust Model Predictive Control Architecture for a Quarter Car With Series Active Variable Geometry Suspension

Abstract: This article proposes a robust model predictive control (RMPC)-based solution for the recently introduced series active variable geometry suspension (SAVGS) to improve the ride comfort and ...