Special Issue: "Modeling and Optimization: Theory and Applications (MOPTA) 2024"

Aim This special issue aims to attract high-quality papers that showcase the interactions between optimization and engineering, and so it focuses on modeling and optimization theory and includes high-impact engineering applications. Submitted papers may address important problems ranging from data science and machine learning to quantum computing and applied operations research. The goal is to present exciting developments on theoretical or practical aspects of continuous, discrete, and stochastic optimization. The call is open to all types of papers, including theoretical, applied, algorithmic, or computational focus, as well as those that combine these features. We are interested in applications of optimization in many different areas, including, but not limited to, machine learning, quantum computing, healthcare, supply chain management, energy, engineering design, and finance. The call encourages submissions from speakers at the MOPTA 2024 conference and their collaborators, but the special issue is open to high-quality submissions from any interested authors. Submission Procedure Please submit to the Optimization and Engineering (OPTE) journal at https://www.springer.com/mathematics/journal/11081 and select the special issue "SI: MOPTA 2024". All submissions must be original and may not be under review at any other journal or proceedings. Interested authors should consult the journal’s "Instructions for Authors" guide, at https://www.springer.com/mathematics/journal/11081. All submitted papers will be reviewed on a peer review basis as standard for OPTE. All inquiries should be directed to the attention of Tommaso Giovannelli, Guest Editor Optimization and Engineering (OPTE) Journal tog220@lehigh.edu