论文

ZiYor 系统给出 QPLIB 2096 全局最优值的精确证明

Exact Optimality Certification of QPLIB 2096 through Complete Set Partitioning

精选理由

一个 300 变量的非凸优化难题,被 ZiYor 这个自进化 AI 系统算出了可机器验证的精确最优证明,连对偶证书都齐了。

论文针对 QPLIB 2096 这一冻结实例给出精确计算证明:其全局最小值为 7,025,720。原始问题包含 300 个二元变量、6,900 条三角不等式和 25 个非凸二次约束,作者将其重构为集合划分形式,枚举 245,505 个大小一至六的子集,找出 14,981 个可行块。通过求和为 2,229,456 的整数对偶价格向量,从总目标边成本 9,255,176 中减去,得到与六块划分解一致的下界。求解与认证过程由自进化 AI 系统 ZiYor 探索和改进。

原文 · arXiv cs.AI

Exact Optimality Certification of QPLIB 2096 through Complete Set Partitioning

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.