Energy-Efficient VoI-Aware UAV-Assisted Data Collection in Wireless Sensor Networks by Kalash, Saeddin

“…In the second, we consider optimized UAV position adaptation where we generated the problem as a multi-objective optimization problem and solved it as a mixed-integer linear programming problem with constraints related to UAV range, UAV steps, and time constraints. …”
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Joint Location and Beamforming Design for Cooperative UAVs with Limited Storage Capacity by Dinh, Phuc

“…Since the formulated problem is a mixed-integer non-linear program which is generally non-deterministic polynomial-time hard, we proposed a framework that is developed on the basis of difference-of-convex (DC) programming to transform the original problem into a series of approximate convex problems which can be iteratively solved until convergence. …”
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Practical single node failure recovery using fractional repetition codes in data centers by Itani, May

“…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 single node failure scenarios. …”
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Enhancing sustainability through resource efficiency in beef production systems using a sliding time window-based approach and frame scores by Muhammad Ismail (3176079)

“…This study proposes a sliding time-window-based multi-period livestock production model using mixed-integer linear programming (MILP) to simultaneously balance economic and environmental losses. …”

A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities by Mahdi Mokhtarzadeh (11593310)

“…A multi-objective mixed-integer non-linear programming (MINLP) model is developed. …”

An adaptive bi-level optimization model for market integration of community energy storage in local trading and upstream energy and regulation services by Sobhan Dorahaki (20545670)

“…The CES maximizes its profit through local energy trading and participation in upstream energy and regulation markets, while prosumers minimize their billing costs by trading energy with the CES and participating in demand response programs. The proposed structure is modeled using a mixed integer linear programming (MILP) approach and solved with the CPLEX solver, allowing for precise optimization of CES operations. …”

Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem by Tao Li (86810)

“…This paper investigates a class of mobile 3D printer scheduling problems that consider various aspects such as printer allocation, transportation, and production. 3D printers can be transported using truck between customer locations to efficiently fulfill customer orders and achieve optimal resource allocation. A mixed-integer linear programming model is proposed to describe this problem. …”

Behavioral Analytics for Optimized Self-Scheduling in Sustainable Local Multi-Carrier Energy Systems: A Prospect Theory Approach by Sobhan Dorahaki (20545670)

“…By embedding these behavioral considerations into a mixed integer linear programming (MILP) model, the proposed approach accounts for real-world decision-making complexities often overlooked in conventional economic theories based on rationality. …”

Blend Scheduling Solutions in Petroleum Refineries towards Automated Decision-Making in Industrial-like Blend-Shops by Mahmoud Ahmednooh (19237120)

“…Crude-oil, atmospheric residuum, gasoline, diesel, or any other stream blending and scheduling (or blend scheduling) optimization yields a non-convex mixed-integer nonlinear programming (MINLP) problem to be solved in ad hoc propositions based on decomposition strategies. …”

A Deployment Optimization Model for Wimax Base-Stations by Aboualmal, Abdulhadi Mahmoud

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Transformations for Variants of the Travelling Salesman Problem and Applications by Assaf, Mustafa Jamil

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Behavioral analytics for optimized self-scheduling in sustainable local multi-carrier energy systems: A prospect theory approach by Dorahaki, Sobhan

“…By embedding these behavioral considerations into a mixed integer linear programming (MILP) model, the proposed approach accounts for real-world decision-making complexities often overlooked in conventional economic theories based on rationality. …”
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Optimization and assessment of solar-assisted cooling systems: A multicriteria framework and comparative study by Dana, Alghool

“…This paper investigates the potential of two, previously unexplored, solar cooling systems while considering economic and environmental criteria: a Solar Thermal and Electrical Cooling System (STECS) that relies solely on solar energy, offering a significant environmental advantage, and a Hybrid Solar Cooling System (HSCS) that combines a compression chiller and an absorption chiller for improved efficiency. First, novel Mixed-Integer Linear Programming models are proposed to aid in generating cost-effective designs and operations for each of STECS and HSCS. …”
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Dynamic multiple node failure recovery in distributed storage systems by Itani, May

“…We formulate the problem as an integer linear programming problem and extend it to account for three dynamic scenarios of newly arriving blocks, nodes, and variable priority blocks allocation. …”
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Hierarchical memory synthesis in reconfigurable computers by Ouaiss, Iyad Elias

“…Several memory mapping techniques are presented and their applicability on existing hardware platforms is discussed. Integer Linear Programming (ILP) formulations are used and assignment techniques that cater to different RC features are developed. …”
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Optimization and assessment of solar-assisted cooling systems: A multicriteria framework and comparative study by Dana Alghool (10340691)

“…This paper investigates the potential of two, previously unexplored, solar cooling systems while considering economic and environmental criteria: a Solar Thermal and Electrical Cooling System (STECS) that relies solely on solar energy, offering a significant environmental advantage, and a Hybrid Solar Cooling System (HSCS) that combines a compression chiller and an absorption chiller for improved efficiency. First, novel Mixed-Integer Linear Programming models are proposed to aid in generating cost-effective designs and operations for each of STECS and HSCS. …”

Reinforcement learning-based dynamic pruning for distributed inference via explainable AI in healthcare IoT systems by Emna Baccour (16896366)

“…We combine distribution and pruning techniques to perform online distributed inference assisted by dynamic pruning when needed for highest accuracy. We use Non-Linear Integer Programming (NLP) to formulate our approach as a trade-off between resources and accuracy, and Reinforcement Learning (RL) to relax the problem and adapt to dynamic requirements. …”

Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters by Farhan, Abid

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Optimal Assignment of Mobile Charging Stations for On-The-Move Electric Vehicles by Hamza, Zakieh Ghassan

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Optimal Planning and Operation of Electric Vehicles Battery Swapping Stations by Shalaby, Ahmed Ayman Ahmed

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