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  1. 1
    A linear programming approach for the weighted graph matchingproblem

    A linear programming approach for the weighted graph matchingproblem by Almohamad, H.A.

    Published 1993
    “…The linear program is solved using a simplex-based algorithm. …”
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  2. 2
    A LINEAR-PROGRAMMING APPROACH FOR THE WEIGHTED GRAPH MATCHING PROBLEM

    A LINEAR-PROGRAMMING APPROACH FOR THE WEIGHTED GRAPH MATCHING PROBLEM by Al-Mohamad, HA

    Published 2020
    “…The linear program is solved using a Simplex-based algorithm. …”
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  3. 3
    A pilot study of an instructional unit on functions using multiple representations with emphasis on problem solving in grade 10 lebanese program. (c2009)

    A pilot study of an instructional unit on functions using multiple representations with emphasis on problem solving in grade 10 lebanese program. (c2009) by Baassiri, Maha

    Published 2009
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  4. 4
    MANET Cluster Optimization Using ILP/SAT Techniques

    MANET Cluster Optimization Using ILP/SAT Techniques by Zahidi, Syed Zohaib Hussain

    Published 2012
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  5. 5
    Degree-Based Network Anonymization

    Degree-Based Network Anonymization by Halawi, Ola

    Published 2020
    “…A corresponding graph realization approach is introduced based on a reduction to the Weighted Edge Cover problem, which in turn is solved using Integer Linear Programming to obtain the best possible solution. …”
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  6. 6
    A Comparative Analysis of Numerical Methods for Solving the Leaky Fire and Integrate Model

    A Comparative Analysis of Numerical Methods for Solving the Leaky Fire and Integrate Model by El Masri, Ghinwa

    Published 2023
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  7. 7
    Optimization of Energy Consumption in Cloud Computing Datacenters

    Optimization of Energy Consumption in Cloud Computing Datacenters by Osman, Ahmed Osman

    Published 2018
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  8. 8
    Is It Necessary to Fully Charge Your Electric Vehicle?

    Is It Necessary to Fully Charge Your Electric Vehicle? by Claude Ziad El-Bayeh (17542284)

    Published 2021
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  9. 9
    Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies

    Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies by Mohamed, Eman

    Published 2017
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  10. 10
    A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities

    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)

    Published 2021
    “…A multi-objective mixed-integer non-linear programming (MINLP) model is developed. To solve the proposed model, four meta-heuristic algorithms, namely multi-objective particle swarm optimization (MOPSO), a non-dominated sorting genetic algorithm (NSGA-II), a hybrid of k-medoids as a famous clustering algorithm and NSGA-II (KNSGA-II), and a hybrid of K-medoids and MOPSO (KMOPSO) are implemented. …”
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  11. 11
    Quarantine-aware home healthcare routing and scheduling: a bi-objective approach

    Quarantine-aware home healthcare routing and scheduling: a bi-objective approach by Najmeh Nabavizadeh (22928821)

    Published 2025
    “…To address these pressing needs, our research introduces a Mixed Integer Linear Programming (MILP) model tailored to the COVID-19 era. …”
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  12. 12
    Optimising the design of a supply chain network with economies of scale using mixed integer programming

    Optimising the design of a supply chain network with economies of scale using mixed integer programming by Bandaly, Dia

    Published 2011
    “…Using this linearisation technique, a mixed integer linear programming model is developed that can be efficiently solved using a branch-and-bound-based optimisation package. …”
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  13. 13
    A Navigation System for Indoor/Outdoor Environments with an Unmanned Ground Vehicle (UGV)

    A Navigation System for Indoor/Outdoor Environments with an Unmanned Ground Vehicle (UGV) by Roigari, Milad

    Published 2015
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  14. 14
    LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress

    LCMV-Based EEG & FNIRS-Based Brain Source Localization of Mental Stress by Almadani, Ismat Feras Ismat

    Published 2024
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  15. 15
    Queuing-Based Optimization of EV Charging Stations: A Case Study of Manama City, Bahrain

    Queuing-Based Optimization of EV Charging Stations: A Case Study of Manama City, Bahrain by Albinali, Hamad A.Rahman

    Published 2025
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  16. 16
    A Navigation and Control System for a Robot in Indoor/Outdoor Environments

    A Navigation and Control System for a Robot in Indoor/Outdoor Environments by Al Khatib, Ehab

    Published 2016
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  17. 17
    Supply chain planning of vaccine and pharmaceutical clusters under uncertainty: The case of COVID-19

    Supply chain planning of vaccine and pharmaceutical clusters under uncertainty: The case of COVID-19 by Farid Kochakkashani (17876918)

    Published 2023
    “…To propose a model for planning the pharmaceutical supply chains, a mixed-integer linear programming (MILP) model is used for a four-echelon supply chain design. …”
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  18. 18
    Joint User Pairing and Power Control for C-NOMA with Full-Duplex Device-to-Device Relaying

    Joint User Pairing and Power Control for C-NOMA with Full-Duplex Device-to-Device Relaying by Dinh, Phuc

    Published 2019
    “…The formulated problem is a mixed-integer non-linear program (MINLP) with prohibitively high complexity. …”
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  19. 19
    An Infrastructure-Assisted Workload Scheduling for Computational Resources Exploitation in the Fog-Enabled Vehicular Network

    An Infrastructure-Assisted Workload Scheduling for Computational Resources Exploitation in the Fog-Enabled Vehicular Network by Sorkhoh, Ibrahim

    Published 2020
    “…After proving the NP-hardness of the scheduling problem, we formulated the problem as a mixed-integer linear program. A Dantzig–Wolfe decomposition algorithm is proposed which yields to a master program solvable by the Barrier algorithm and subproblems solve...…”
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  20. 20
    Minimum UAV fog servers with maximum IoT devices association using genetic algorithms

    Minimum UAV fog servers with maximum IoT devices association using genetic algorithms by Abbas, Nadine

    Published 2021
    “…We first formulate the problem as a multi-objective optimization problem which can be shown to be mixed-integer non-linear program (MINLP) and is NP-hard. We then propose a heuristic sub-optimal approach based on genetic algorithm (GA) to decide on the minimum number of UAVs to be deployed and the IoT-to-UAV association. …”
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