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يعرض 1 - 20 نتائج من 101 نتيجة بحث عن 'linearization ((maximization algorithm) OR (optimization algorithms))*', وقت الاستعلام: 0.10s تنقيح النتائج
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    On Indefinite Quadratic Optimization over the Intersection of Balls and Linear Constraints حسب Temadher A. Almaadeed (14151288)

    منشور في 2022
    "…<p>In this paper, we study the minimization of an indefinite quadratic function over the intersection of balls and linear inequality constraints (QOBL). Using the hyperplanes induced by the intersection of each pair of balls, we show that the optimal solution of QOBL can be found by solving several extended trust-region subproblems (e-TRS). …"
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    Teaching–learning-based optimization algorithm: analysis study and its application حسب Abualigah, Laith

    منشور في 2024
    "…The teaching–learning-based optimization (TLBO) algorithm is a novel nature-based optimization approach that has attracted a lot of interest from researchers because of its great capacity to handle optimization problems. …"
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    Optimal selection of the forgetting matrix into an iterative learning control algorithm حسب Saab, Samer S.

    منشور في 2005
    "…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the optimal forgetting matrix and the learning gain matrix of a P-type iterative learning control (ILC) for linear discrete-time varying systems with arbitrary relative degree. …"
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    article
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    Energy Hub Optimal Scheduling and Management in the Day-Ahead Market Considering Renewable Energy Sources, CHP, Electric Vehicles, and Storage Systems Using Improved Fick’s Law Alg... حسب Ali S. Alghamdi (12722891)

    منشور في 2023
    "…The optimum capacity of EH equipment, including photovoltaic and wind renewable energy sources, a combined heat and power system (CHP), a boiler, energy storage, and electric vehicles is determined in the day-ahead market using the improved Fick’s law algorithm (IFLA), considering the energy profit maximization and also satisfying the linear network and hub constraints. …"
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    Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem حسب Abu Zitar, Raed

    منشور في 2023
    "…On the other hand, the optimization of the problem is implemented using several evolutionary-based metaheuristic algorithms. …"
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    Minimum UAV fog servers with maximum IoT devices association using genetic algorithms حسب Abbas, Nadine

    منشور في 2021
    "…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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    conferenceObject
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    Economic load dispatch using memetic sine cosine algorithm حسب Abu Zitar, Raed

    منشور في 2022
    "…As other optimization methods, SCA has main shortcoming in exploitation process when a non-linear constraints problem like ELD is tackled. …"
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    Shuffled Linear Regression with Erroneous Observations حسب Saab, Samer S.

    منشور في 2019
    "…This paper tackles this problem in its full generality using stochastic approximation, which is based on a first-order permutation-invariant constraint. We propose an optimal recursive algorithm that updates the estimate from the underdetermined function that is based on that permutation-invariant constraint. …"
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    conferenceObject
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    A LINEAR-PROGRAMMING APPROACH FOR THE WEIGHTED GRAPH MATCHING PROBLEM حسب Al-Mohamad, HA

    منشور في 2020
    "…The linear program is solved using a Simplex-based algorithm. …"
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    article
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    Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams حسب Eduardo Feo-Flushing (23276023)

    منشور في 2021
    "…Both combine a generic MILP solver and a genetic algorithm, resulting in efficient anytime algorithms. …"
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    Topics in graph algorithms حسب Abu-Khzam, Faisal Nabih

    منشور في 2003
    "…Coping with computational intractability has inspired the development of a variety of algorithmic techniques. The main challenge has usually been the design of polynomial time algorithms for NP-complete problems in a way that guarantees some, often worst-case, satisfactory performance when compared to exact (optimal) solutions. …"
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    masterThesis