On Constrained Mixed-Integer DR-Submodular Minimization

IF 1.4 3区 数学 Q2 MATHEMATICS, APPLIED Mathematics of Operations Research Pub Date : 2024-04-08 DOI:10.1287/moor.2022.0320
Qimeng Yu, Simge Küçükyavuz
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Abstract

Diminishing returns (DR)–submodular functions encompass a broad class of functions that are generally nonconvex and nonconcave. We study the problem of minimizing any DR-submodular function with continuous and general integer variables under box constraints and, possibly, additional monotonicity constraints. We propose valid linear inequalities for the epigraph of any DR-submodular function under the constraints. We further provide the complete convex hull of such an epigraph, which, surprisingly, turns out to be polyhedral. We propose a polynomial-time exact separation algorithm for our proposed valid inequalities with which we first establish the polynomial-time solvability of this class of mixed-integer nonlinear optimization problems.Funding: This work was supported by the Office of Naval Research Global [Grant N00014-22-1-2602].
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关于受约束混合整数 DR 次模态最小化
收益递减(DR)-次模态函数包括一大类函数,它们通常是非凸非凹的。我们研究的问题是,在盒式约束和可能的附加单调性约束下,如何最小化任何具有连续和一般整数变量的 DR 次模态函数。我们提出了约束条件下任何 DR 次模态函数外延的有效线性不等式。我们进一步提供了这样一个外延的完整凸壳,令人惊讶的是,这个凸壳竟然是多面体的。我们针对所提出的有效不等式提出了一种多项式时间精确分离算法,通过这种算法,我们首先建立了这一类混合整数非线性优化问题的多项式时间可解性:这项工作得到了全球海军研究办公室[N00014-22-1-2602 号拨款]的支持。
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来源期刊
Mathematics of Operations Research
Mathematics of Operations Research 管理科学-应用数学
CiteScore
3.40
自引率
5.90%
发文量
178
审稿时长
15.0 months
期刊介绍: Mathematics of Operations Research is an international journal of the Institute for Operations Research and the Management Sciences (INFORMS). The journal invites articles concerned with the mathematical and computational foundations in the areas of continuous, discrete, and stochastic optimization; mathematical programming; dynamic programming; stochastic processes; stochastic models; simulation methodology; control and adaptation; networks; game theory; and decision theory. Also sought are contributions to learning theory and machine learning that have special relevance to decision making, operations research, and management science. The emphasis is on originality, quality, and importance; correctness alone is not sufficient. Significant developments in operations research and management science not having substantial mathematical interest should be directed to other journals such as Management Science or Operations Research.
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