---
title: "Exact Optimality Certification of QPLIB 2096 through Complete Set Partitioning"
source: "arXiv AI/CL/LG（论文）"
source_tier: "t2"
url: "https://arxiv.org/abs/2611.04230v1"
permalink: "https://feed.astralor.com/items/itm_02ed850ae2673b0c40b64b57"
published: "2026-11-03T03:10:02.000Z"
score: 59
channel: "tech"
tags: ["Exact Optimality Certification","QPLIB","Complete Set Partitioning","ZiYor"]
---

# Exact Optimality Certification of QPLIB 2096 through Complete Set Partitioning

## At a glance

We present an exact computational proof that the frozen QPLIB_2096 instance has global minimum 7,025,720. The solution and certification approach was explored and refined through ZiYor, a self-evolving AI system. The au…

## Key points

- We present an exact computational proof that the frozen QPLIB_2096 instance has global minimum 7,025,720.
- The solution and certification approach was explored and refined through ZiYor, a self-evolving AI system.
- The authors provide the mathematical account and exact validation reported here.

## Full text

We present an exact computational proof that the frozen QPLIB_2096 instance has global minimum 7,025,720. The solution and certification approach was explored and refined through ZiYor, a self-evolving AI system. The authors provide the mathematical account and exact validation reported here. The original formulation has 300 binary variables, 6,900 triangle inequalities, and 25 nonconvex quadratic constraints. A coefficient-level reconstruction identifies its variables with the unordered pairs of 25 items. The triangle inequalities encode partitions, while each quadratic constraint becomes a bound on the total weight of edges incident to one partition block. This yields a set-partitioning formulation over all capacity-feasible blocks, with a separate edge-cost graph determining the objective. Exact enumeration examines 245,505 subsets of sizes one through six and finds 14,981 feasible blocks. Every six-element subset is infeasible; nonnegative capacity weights exclude all larger blocks. An integer price vector satisfies the dual inequality for every feasible block and has sum 2,229,456. Subtracting this sum from the total objective edge cost 9,255,176 gives a lower bound of 7,025,720, attained by the supplied six-block partition. Fresh solver-free checks validate the candidate against both frozen model formats and verify the certificate. The result is an instance-specific optimality proof with an exact primal and dual witness; no cross-instance performance conclusion is drawn.

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