Thermal-aware test scheduling using network-on-chip under multiple clock rates by Harmanani, Haidar M.

“…This article presents an optimal integer linear programming (ILP) formulation and a simulated annealing (SA) solution to thermal and power-aware test scheduling of cores in an NoC-based SoC using multiple clock rates. …”
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An automated temporal partitioning tool for a class of DSP applications by Ouaiss, Iyad

“…We present an automated temporal partitioning tool for developing dynamical ly recon gurable designs starting from behavior level speci cations for a class of dsp applications. An Integer Linear Programming (ilp) model is formulated to achieve near-optimal latency designs. …”
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An optimal formulation for test scheduling network-on-chip using multiple clock rates by Harmanani, Haidar M.

“…In this paper, an optimal integer linear programming (ILP) solution for test scheduling of cores in a NoC-based SoC using multiple clock rates is presented. …”
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An automated temporal partitioning and loop fission approach for FPGA based reconfigurable synthesis of DSP applications by Ouaiss, I.

“…We present an automated temporal partitioning and loop transformation approach for developing dynamically reconfigurable designs starting from behavior level specifications. An Integer Linear Programming (ILP) model is formulated to achieve near-optimal latency designs. …”
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Optimization of hybrid renewable-diesel power plants considering operational cost, battery degradation, and emissions by Aya, Amer

“…The optimization problem is formulated as a mixed integer linear programming framework with the objectives of minimizing operating costs, battery degradation costs, and pollutant gas emissions. …”
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Global memory mapping for FPGA-based reconfigurable systems by Ouaiss, Iyad

“…An intelligent memory assignment minimizes the total latency of the design and the interconnection requirements due to memory accesses. A complete Integer Linear Programming (ILP) formulation of the problem results in an optimized memory mapping; however, the formulation is complex and takes a very long time to produce a solution. …”
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Correlation Clustering via s-Club Cluster Edge Deletion by Makarem, Norma

“…In this work, we implement three approaches to tackle the 2-club clustering via edge deletion: a heuristic approach based on the influence of the edge to resolve maximum conflicts, a parameterized algorithm in which by deleting a maximum of k edges, the graph can be transformed into a 2-club cluster based on a branching algorithm, and the approach in Integer Linear Programming to find the optimized solution in an integer formulation. …”
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A Dynamic Optimal Battery Swapping Mechanism for Electric Vehicles using an LSTM-based Rolling Horizon Approach by Shalaby, Ahmed Ayman Ahmed

“…The problem is defined as mixed-integer nonlinear programming (MINLP), then it’s linearized into a mixed-integer linear problem (MILP) to reduce the computational complexity. …”
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Supply chain optimization by Benameur, Kameleddine

“…Among the many important findings, our analysis indicates that mixed-integer linear programming is the most commonly used model, while robust optimization is the method of choice for handling uncertainty. …”
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Supply chain optimization by Benameur, Kameleddine

“…Among the many important findings, our analysis indicates that mixed-integer linear programming is the most commonly used model, while robust optimization is the method of choice for handling uncertainty. …”
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A combinatorial auction‐based approach for ridesharing in a student transportation system by Chefi Triki (14158860)

“…<p></p><div> <p>Here, a mixed-integer linear programming model is developed to represent a transportation system of students traveling from/to a university campus. …”

A multi-objective planning approach for optimal DG allocation for droop based microgrids by Shaaban, Mostafa

“…The proposed planning problem is formulated as a Mixed Integer Non-Linear Programming (MINLP) problem and is tested on a modified version of the IEEE 38 bus system operated as an islanded microgrid. …”
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A Mobile Energy Storage Unit Serving Multiple EV Charging Stations by Elmeligy, Mohamed Mostafa Abdelazim

“…The operational problem is formulated as a mixed-integer non-linear programming (MINLP), where the objective is to minimize the total operating cost of the parking lots (PLs). …”
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On Leveraging the Computational Potential of Fog-Enabled Vehicular Networks by Sorkhoh, Ibrahim

“…We model the problem as a Mixed Integer Linear Programming (MILP), and due to NP-hardness, we propose a Dantzig-Wolfe decomposition method to provide a scalable solution. …”
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Synthesis of Sustainable Carbon Negative Eco-Industrial Parks by Elizabeth J. Abraham (16328812)

“…The method developed within this work uses mixed integer linear programming (MILP) to design sustainable clusters that convert seawater (including waste brine), air, and waste carbon dioxide emissions to value-added products with sunlight as the main energy source. …”

Practical Multiple Node Failure Recovery in Distributed Storage Systems by Itani, M.

“…We model the problem as an integer linear programming problem that uses modified versions of the fractional repetition code by allowing different block sizes, and minimizes the recovery cost of all dependent and independent multiple node failure scenarios. …”
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Real-time coordination of multiple shuttle-conveyor-belts for inventory control of multi-quality stockpiles by Mohammed Yaqot (16904577)

“…The problem is solved as a mixed-integer quadratic programming (MIQP) that uses <i>amount-of-quality</i> balances as a linear (LP) approximation, tightening the MIQP-solutions to schedules of simultaneous blending of different quality shuttle-conveyor-belts’ raw materials. …”

Resilience-uncertainty nexus in building energy management integrated with solar system and battery storage by Hasan Mehrjerdi (16869957)

“…The stochastic mixed integer linear programming is implemented to minimize the objective functions. …”

Stochastic optimization for strategic planning of efficient and sustainable hydrogen supply chain networks under demand uncertainty by Mohamed Amjath (17542512)

“…This study proposes a stochastic mixed-integer linear programming (SMILP) framework for optimizing the strategic development of hydrogen supply chain (HSC) infrastructure, accounting for the demand uncertainty. …”

Three-tier offloading model for energy-efficient mobile computation. (c2018) by Sharafeddine, Aziza

“…We consider two widely available wireless interfaces namely, Wi-Fi and ZigBee, and formulate our problem as integer linear programming to decide whether to offload on any of the existing interfaces or compute locally while minimizing the total energy consumption and meeting time limits. …”
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