يعرض 481 - 500 نتائج من 759 نتيجة بحث عن 'optimization ((optimization algorithms) OR (optimization algorithm))', وقت الاستعلام: 0.08s تنقيح النتائج
  1. 481

    Data Generation for Path Testing حسب Mansour, Nashat

    منشور في 2004
    "…These algorithms are based on an optimization formulation of the path testing problem which include both integer- and real-value test cases. …"
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    article
  2. 482

    A combinatorial auction‐based approach for ridesharing in a student transportation system حسب Chefi Triki (14158860)

    منشور في 2023
    "…Three meta-heuristics, namely particle swarm optimization, dragonfly algorithm, and imperialist competitive algorithm, are implemented in the proposed framework, whose performances are assessed and compared. …"
  3. 483
  4. 484

    Tuning of AGC of interconnected reheat thermal systems with geneticalgorithms حسب Abdel-Magid, Y.L.

    منشور في 1995
    "…This paper deals with the application of genetic algorithms for optimizing the automatic generation control (AGC) systems. …"
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    article
  5. 485

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

    منشور في 1993
    "…A linear program is obtained by formulating the graph matching problem in L1 norm and then transforming the resulting quadratic optimization problem to a linear one. The linear program is solved using a simplex-based algorithm. …"
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    article
  6. 486

    Simulated evolution for timing and low power VLSI standard cell placement حسب Sait, Sadiq M.

    منشور في 2020
    "…For this hard multiobjective combinatorial optimization problem, no known exact and efficient algorithms exist that guarantee finding a solution of specific or desirable quality. …"
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    article
  7. 487

    An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation حسب El-Maleh, Aiman H.

    منشور في 2001
    "…Evolutionary algorithms have been effective in solving many search and optimization problems. …"
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    article
  8. 488

    Singularly perturbed nonlinear ODEs and interior point optimizationalgorithms حسب Ezzine, J.

    منشور في 1995
    "…This paper explores the continuous realizations of iterative processes emanating from interior point optimization algorithms, and their connection with nonlinear singularly-perturbed ordinary differential equations. …"
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    article
  9. 489

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

    منشور في 2020
    "…A linear program is obtained by formulating the graph matching problem in L1 norm and then transforming the resulting quadratic optimization problem to a linear one. The linear program is solved using a Simplex-based algorithm. …"
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    article
  10. 490

    FAST FUZZY FORCE-DIRECTED/SIMULATED EVOLUTION METAHEURISTIC FOR MULTIOBJECTIVE VLSI CELL PLACEMENT حسب Sait, Sadiq M.

    منشور في 2006
    "…The cell placement problem is a proven NP hard combinatorial optimization problem. The complexity of this problem increases when multiple optimization objectives are considered simultaneously. …"
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    article
  11. 491

    Protein structure prediction in the 3D HP model حسب Abu-Khzam, Faisal

    منشور في 2009
    "…In this paper, we present a Particle Swarm Optimization (PSO) based algorithm for predicting protein structures in the 3D HP model. …"
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    conferenceObject
  12. 492

    Definition and selection of fuzzy sets in genetic‐fuzzy systems using the concept of fuzzimetric arcs حسب Kouatli, Issam

    منشور في 2008
    "…An irregular shape may be required by some systems. Hence, a genetic algorithm was proposed as a methodology to optimize the performance of fuzzy systems by mutating different regular shapes. …"
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    article
  13. 493

    Dynamic single node failure recovery in distributed storage systems حسب Itani, M.

    منشور في 2017
    "…With the emergence of many erasure coding techniques that help provide reliability in practical distributed storage systems, we use fractional repetition coding on the given data and optimize the allocation of data blocks on system nodes in a way that minimizes the system repair cost. …"
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    article
  14. 494

    Localization of Damages in Plain And Riveted Aluminium Specimens using Lamb Waves حسب S. Andhale, Yogesh

    منشور في 2018
    "…The genetic optimization (GO) method is used to further refine the location of damage within the enclosed area obtained using astroid algorithm. …"
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  15. 495

    "A Tabu Search Approach for the Design of Variable Structure Load Frequency Controller Incorporating Model Nonlinearities" حسب Al-Hamouz, Z.

    منشور في 2007
    "…The proposed method formulates the design of VSC as an optimization problem and utilizes Tabu Search Algorithm (TS) to find the optimal settings of the controller. …"
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    article
  16. 496

    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
  17. 497

    A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments حسب Barada, Hassan

    منشور في 2020
    "…Keywords: Scheduling; Optimization; Heuristics; Heterogeneous systems…"
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    article
  18. 498

    The Generalization of Bidirectional Dual Active Bridge DC/DC Converter Modulation Schemes: State-of-the-Art Analysis under Triple Phase Shift Control حسب Yasen Harrye (22415632)

    منشور في 2023
    "…Additionally, a generic optimization algorithm is developed to show the advantages of TPS modulation, and thus, the analysis in this paper offers a valuable insight for single-phase DAB converter designers in identifying a wide range of optimization algorithms to achieve higher efficiency under TPS modulation. …"
  19. 499
  20. 500

    Uplink Noma in UAV-Assisted IoT Networks حسب Mrad, Ali

    منشور في 2022
    "…Given the complexity of the problem and the incomplete knowledge about the environment, the problem is divided into two subproblems: the first models the UAV trajectory and the selection of the first device in the NOMA cluster at each time slot as a Markov Decision Process, and uses Proximal Policy Optimization to solve it. The second device is then selected using a heuristic algorithm based on prioritizing devices with higher bit rate requirements and strict deadlines. …"
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    masterThesis