يعرض 1 - 20 نتائج من 78 نتيجة بحث عن '(( iterative optimization algorithm ) OR ( migration optimization algorithm ))*', وقت الاستعلام: 0.10s تنقيح النتائج
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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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    Stochastic P-type/D-type iterative learning control algorithms حسب Saab, Samer S.

    منشور في 2003
    "…This paper presents stochastic algorithms that compute optimal and sub-optimal learning gains for a P-type iterative learning control algorithm (ILC) for a class of discrete-time-varying linear systems. …"
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    article
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    On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise حسب Saab, Samer S.

    منشور في 2005
    "…Higher-Order Iterative Learning Control (HO-ILC) algorithms use past system control information from more than one past iterative cycle. …"
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    conferenceObject
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    A stochastic iterative learning control algorithm with application to an induction motor حسب Saab, Samer S.

    منشور في 2004
    "…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the learning gain matrix of a P-type ILC for linear discrete-time varying systems with arbitrary relative degree. …"
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    article
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    A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems حسب Bilal Khurshid (16715865)

    منشور في 2024
    "…The ES algorithm begins with a random initial solution and uses an insertion mutation to optimize the solution. …"
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    Particle swarm optimization algorithm: review and applications حسب Abualigah, Laith

    منشور في 2024
    "…Particle swarm optimization (PSO) is a heuristic global optimization technique and an optimization algorithm that is swarm intelligence-based. …"
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    Reliability and fault tolerance based topological optimization of computer networks - part II: iterative techniques حسب Abd-El-Barr, Mostafa

    منشور في 2003
    "…We consider the use of three iterative techniques, namely tabu search, simulated annealing, and genetic algorithms, in solving the multiobjective topological optimization network design problem. …"
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    article
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    Iterative Least Squares Functional Networks Classifier حسب Faisal, Kanaan A

    منشور في 2007
    "…Both methodology and learning algorithm for this kind of computational intelligence classifier using the iterative least squares optimization criterion are derived. …"
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    article
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    Iterative heuristics for multiobjective VLSI standard cellplacement حسب Sait, Sadiq M.

    منشور في 2001
    "…We employ two iterative heuristics for the optimization of VLSI standard cell placement. …"
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    article
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    General iterative heuristics for VLSI multiobjective partitioning حسب Sait, Sadiq M.

    منشور في 2003
    "…In this paper, we engineer two iterative heuristics for the optimization of VLSI netlist bi-Partitioning. …"
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    article
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    A new family of multi-step quasi-Newton algorithms for unconstrained optimization حسب Obeid, Samir

    منشور في 1999
    "…It concentrates on deriving a variable-metric family of minimum curvature algorithms for unconstrained optimization. The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …"
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    article
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    Enhancement of SAR Speckle Denoising Using the Improved Iterative Filter حسب Yahia, Mohamed

    منشور في 2020
    "…When the improved iterative filtering process was initialized by the nonlocal mean filter, for few iterations, the filtering performances were improved. …"
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    article
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    Parallelization of Iterative Heuristic for Performance-Driven Low-Power VLSI Standard Cell Placement. حسب Syed, Sanaullah/SS

    منشور في 2003
    "…The complexity involved in VLSI design and its sub-problems has always made them ideal application areas for non-deterministic iterative heuristics. However, the major drawback has been the large runtime involved in reaching acceptable solutions especially in the case of multi-objective optimization problems. …"
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    masterThesis
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