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<p>This special issue of <i>Optimization and Engineering</i> (OPTE) presents a selection of contributions arising from the Modeling and Optimization: Theory and Applications (MOPTA)&#xa0;2024 Conference, which was hosted by the Industrial and Systems Engineering&#xa0;(ISE) Department at Lehigh University. The conference was held in Bethlehem, Pennsylvania,&#xa0;USA, from August 14 to 16, 2024, and continued the long-standing tradition, initiated in&#xa0;2000, of bringing together a diverse group of researchers and practitioners working on both theoretical and applied aspects of continuous and discrete optimization. The fifteen papers collected in this issue cover a broad range of topics in optimization theory and its engineering applications, including stochastic and distributed optimization, tensor methods, variational inequalities, data assimilation, network flows, and game theory, with applications in energy systems, transportation, geophysical modeling, machine learning, and industrial processes.</p>

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Modeling and optimization: theory and applications (MOPTA), Bethlehem, PA, USA, August 2024, selected contributions

  • 期刊论文

  • 发表日期：

    2026年7月18日

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  • Tommaso Giovannelli,
  • Tamás Terlaky,
  • Xiu Yang

摘要

This special issue of Optimization and Engineering (OPTE) presents a selection of contributions arising from the Modeling and Optimization: Theory and Applications (MOPTA) 2024 Conference, which was hosted by the Industrial and Systems Engineering (ISE) Department at Lehigh University. The conference was held in Bethlehem, Pennsylvania, USA, from August 14 to 16, 2024, and continued the long-standing tradition, initiated in 2000, of bringing together a diverse group of researchers and practitioners working on both theoretical and applied aspects of continuous and discrete optimization. The fifteen papers collected in this issue cover a broad range of topics in optimization theory and its engineering applications, including stochastic and distributed optimization, tensor methods, variational inequalities, data assimilation, network flows, and game theory, with applications in energy systems, transportation, geophysical modeling, machine learning, and industrial processes.