Results 11 to 20 of about 16,981 (186)
Fast MILP Models for Division Property [PDF]
IACR Transactions on Symmetric Cryptology, 2022 Nowadays, MILP is a very popular tool to help cryptographers search for various distinguishers, in particular for integral distinguishers based on the division property.
Patrick Derbez, Baptiste Lambin
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MILP-StuDio: MILP Instance Generation via Block Structure Decomposition [PDF]
Advances in Neural Information Processing Systems 37Mixed-integer linear programming (MILP) is one of the most popular mathematical formulations with numerous applications. In practice, improving the performance of MILP solvers often requires a large amount of high-quality data, which can be challenging ...
Li, Xijun +8 more
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Discounted Pseudocosts in MILP [PDF]
CoRRIn this article, we introduce the concept of discounted pseudocosts, inspired by discounted total reward in reinforcement learning, and explore their application in mixed-integer linear programming (MILP).
Patel, Krunal Kishor
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Three-Tier Disaster Logistics System Integrating GIS and MILP Optimization
Journal of Applied Informatics and ComputingEffective disaster logistics management requires rapid, data-driven decision support that bridges optimization theory and operational practice. Existing systems either rely on theoretical models without implementable software, on proprietary datasets ...
Danny Oka Ratmana +5 more
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Analysis of Sparse Cutting Planes for Sparse MILPs with Applications to Stochastic MILPs [PDF]
Mathematics of Operations Research, 2018 In this paper, we present an analysis of the strength of sparse cutting planes for mixed integer linear programs (MILP) with sparse formulations. We examine three kinds of problems: packing problems, covering problems, and more general MILPs with the only assumption that the objective function is nonnegative.
Santanu S. Dey +2 more
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Possible refinements of RECIFE-MILP
, 2017 In this document we propose formulations of additional constraints or alternative objective functions which can be added to RECIFE-MILP. The aim of these refinements is acquiring the possibility of representing additional features of the railway traffic ...
Rodriguez, Joaquin +3 more
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Size Constrained Clustering With MILP Formulation [PDF]
IEEE Access, 2020 Clustering is one of the essential tools for data mining since it reveals the natural structures of the unlabeled data. Many clustering algorithms have been proposed in the last decades. However, few of them are designed to adapt prior knowledge that is available in many real applications, such as the sizes of clusters.
Wei Tang 0011 +3 more
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الگوی مسیریابی بهینه ناوگان حمل ونقل توزیع گوشت مرغ شهر تهران در حالت چندقرارگاهی با محدودیت پنجره زمانی [PDF]
اقتصاد کشاورزی و توسعه, 2020 حملونقل یک رشتة خدماتی است که از تولید تا مصرف تمامی کالاها و خدمات نقش و سهم بهسزایی دارد. این مسئله برای کالاهای فسادپذیر همانند گوشت مرغ و همچنین، در شهرهای بزرگ اهمیت دوچندان پیدا می‌کند.
فرشید ریاحی درچه +2 more
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A MILP Model for Water Level Sensor Placement with Multi-Sensor and Multi-Disaster Areas
Jurnal Teknik Industri, 2021 A water level sensor is critical to measure water levels at strategic points in the river. The sensor location directly impacts the quality of the collected data sent to the flood early warning system. To prevent and minimize the risk of flooding, it is
Prudensy F Opit +2 more
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MILP-Based Imitation Learning for HVAC Control [PDF]
IEEE Internet of Things Journal, 2022 To optimize the operation of a HVAC system with advanced techniques such as artificial neural network, previous studies usually need forecast information in their method. However, the forecast information inevitably contains errors all the time, which degrade the performance of the HVAC operation.
Huy Truong Dinh, Daehee Kim 0001
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