Linear Ordering Problem: Time for a Change 文章

ArXiv CS.AI2026-06-01NEWSen作者: Fabrizio Fagiolo, Marco Baioletti, Valentino Santucci

摘要

arXiv:2605.31051v1 Announce Type: cross Abstract: The Linear Ordering Problem (LOP) is a fundamental combinatorial optimization problem with important applications in areas such as economics, social choice, and machine learning. Its most prominent use is the triangulation of economic input-output tables, which helps identify critical industries in an economy. Most existing algorithms have been evaluated on benchmarks derived from outdated macroeconomic data, which no longer reflect the structure of contemporary economies. Furthermore, LOP instances often exhibit many distinct global optima that can differ substantially from one another, creating challenges for applications that rely on a single solution.

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Linear Ordering Problem: Time for a Change
2026-06-01PRODUCT_LAUNCH影响: MEDIUM

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