Results 11 to 20 of about 37,139 (224)
Fast MILP Models for Division Property
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-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
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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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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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Research and design of authenticated encryption algorithm based on AES round function
网络与信息安全学报, 2020 The authenticated encryption algorithm guarantees the confidentiality and integrity of the information at the same time, and has extensive research and application prospects in the field of information security. With the mixed integer linear programming
GAO Guoqiang, LI Zichen
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Iterative MILP methods for vehicle control problems [PDF]
2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601), 2004 Mixed integer linear programming (MILP) is a powerful tool for planning and control problems because of its modeling capability and the availability of good solvers. However, for large models, MILP methods suffer computationally. In this paper, we present iterative MILP algorithms that address this issue. We consider trajectory generation problems with
Earl, Matthew, D'Andrea, Raffaello
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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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Metodología Algorítmica para el Diseño Inherentemente Seguro de Planta
Tecnología y Ciencia, 2020 Los principios del diseño inherentemente seguro imponen la consideración del riesgo desde etapas tempranas del diseño. La consideración del mismo generalmente es realizada en las últimas etapas, independientemente de la optimización de layout, aun cuando
Santiago Orellano +2 more
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UAV Mission Planning with SAR Application
Sensors, 2020 The paper presents the concept of mission planning for a short-range tactical class Unmanned Aerial Vehicle (UAV) that recognizes targets using the sensors it has been equipped with.
Wojciech Stecz, Krzysztof Gromada
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Exact solution approaches for the workload smoothing in assembly lines
Engineering Science and Technology, an International Journal, 2021 In this paper, the problem of minimizing the smoothness index for an assembly line given a fixed cycle time and the number of workstations is studied. This problem which is known as the workload smoothing line balancing problem (WSLBP) is a mixed-integer
Derya Dinler, Mustafa Kemal Tural
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