Abstract: This article investigates a dynamic slab assignment problem (DSAP) that arises in the slab production process of steel industry. In DSAP, a set of slabs and orders arrive dynamically at each ...

Master problem-solving with a simple, powerful 3-step approach that works across all languages and challenges. Whitefish crash has Michigan fishers on the brink: ‘It makes you want to cry’ Donald ...

Individuals living in urban cities are experiencing the combined effect of increasing temperatures and poor air quality, often referred to as the urban heat dome. Pregnant mothers and their unborn ...

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Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...

Chemical Physics Theory Group, Department of Chemistry, University of Toronto, Toronto, Ontario, Canada M5S 3H6 Department of Physical and Environmental Sciences, University of Toronto Scarborough, ...

Power distribution systems are often conceptualized as optimization models. While optimizing agents to perform tasks works well for systems with limited checkpoints, things begin to go out of hand ...

The artificial intelligence start-up said the new system, OpenAI o3, outperformed leading A.I. technologies on tests that rate skills in math, science, coding and logic. By Cade Metz Reporting from ...

ABSTRACT: In this paper we compare track data association purity, accuracy, and timing on a simple, idealized model tracking problem for two data association methods: Global Nearest Neighbor (GNN) and ...

In this paper we compare track data association purity, accuracy, and timing on a simple, idealized model tracking problem for two data association methods: Global Nearest Neighbor (GNN) and Linear ...