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effectively » effective (توسيع البحث)
يعرض 81 - 100 نتائج من 291 نتيجة بحث عن '(( algorithm effectively optimizes ) OR ( algorithm respectively optimized ))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 81

    StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features حسب Muhammad Arif (769250)

    منشور في 2024
    "…The proposed StackDPPred method improves the overall accuracy by 13.41% and 7.62% compared to existing DPs predictors iDPF-PseRAAC and iDEF-PseRAAC, respectively on validation test. Additionally, we applied the local interpretable model-agnostic explanations (LIME) algorithm to understand the contribution of selected features to the overall prediction. …"
  2. 82

    Optimal Sizing and Techno-Economic Analysis of Hybrid Renewable Energy Systems—A Case Study of a Photovoltaic/Wind/Battery/Diesel System in Fanisau, Northern Nigeria حسب Nasser Yimen (16697129)

    منشور في 2020
    "…The resulting optimal design architecture included an 89.271-kW photovoltaic array, a 100.31-W diesel generator, and 148 batteries with a total annualized cost (TAC) and cost of energy (COE) of USD 43,807 and USD 0.25/kWh, respectively. …"
  3. 83

    Fuzzy simulated evolution algorithm for VLSI cell placement حسب Sait, Sadiq M.

    منشور في 2003
    "…There has not been a consensus on how to accommodate all these (conflicting) requirements in the search for near optimal feasible solutions. In this paper, we present a fuzzy simulated evolution (FSE) algorithm to tackle this problem. …"
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    article
  4. 84

    Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem حسب Abido, M. A.

    منشور في 2006
    "…The potential and effectiveness of the newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) for solving a real-world power system multiobjective nonlinear optimization problem are comprehensively discussed and evaluated in this paper. …"
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    article
  5. 85

    Multiobjective evolutionary algorithms for electric power dispatch problem حسب Abido, M.A.

    منشور في 2006
    "…The potential and effectiveness of the newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) for solving a real-world power system multiobjective nonlinear optimization problem are comprehensively discussed and evaluated in this paper. …"
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    article
  6. 86

    Control of nonlinear dynamical systems using genetic algorithms حسب Al-Duwaish, H.N.

    منشور في 1997
    "…This paper introduces a new method for the control of nonlinear systems using genetic algorithms. The proposed method formulates the nonlinear controller design as an optimization problem and genetic algorithms are used in the optimization process. …"
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    article
  7. 87

    Distributed dimension reduction algorithms for widely dispersed data حسب Abu-Khzam, F.N.

    منشور في 2002
    "…To address this need, an effective distributed dimension reduction algorithm is developed. …"
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    conferenceObject
  8. 88

    Simultaneous stabilization of multimachine power systems viagenetic algorithms حسب Abdel-Magid, Y.L.

    منشور في 1999
    "…The problem of selecting the parameters of power system stabilizers which simultaneously stabilize this set of plants is converted to a simple optimization problem which is solved by a genetic algorithm with an eigenvalue-based objective function. …"
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    article
  9. 89

    Optimizing Aircraft Pitch Control Systems: A Novel Approach Integrating Artificial Rabbits Optimizer with PID-F Controller حسب Abualigah, Laith

    منشور في 2024
    "…Comparative analysis with various optimization algorithm-based controllers from the literature demonstrates the effectiveness of the proposed technique. …"
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  10. 90
  11. 91

    A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation حسب Iman M. Hosseini Naveh (16891482)

    منشور في 2021
    "…The proposed analysis is established considering the most highly cited, well-known tested and newly expanded swarm-based optimization algorithms (SBOAs), such as Grasshopper Optimization Algorithm (GOA), Grey Wolf Optimization (GWO), Artificial Fish Swarm Algorithm (AFSA), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). …"
  12. 92

    Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems حسب Abdel Magid, Y.L.

    منشور في 2020
    "…The task of selecting the output feedback gains is converted to a simple optimization problem with an eigenvaluebased objective function, which is solved by a genetic algorithm. …"
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    article
  13. 93

    Nonlinear Control of Brushless Dual-Fed Induction Generator With a Flywheel Energy Storage System for Improved System Performance حسب Mohammed Hamidat (3722086)

    منشور في 2025
    "…SC is selected for its ability to handle parametric and nonparametric uncertainties, offering a robust solution that ensures fast response times and asymptotic stability across varying operating conditions. To optimize parameter tuning within the control system, the Grasshopper Optimization Algorithm (GOA) is applied, ensuring optimal performance of the proposed framework. …"
  14. 94

    EVALUATION OF OPTIMIZATION METHODS FOR MACHINING ECONOMICS MODELS حسب Duffuaa, S. O.

    منشور في 2020
    "…The algorithms are evaluated empirically with respect to their reliability, precision, convergence, sensitivity to input vector and their preparational effort. …"
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    article
  15. 95
  16. 96

    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. …"
  17. 97

    Particle swarm optimization for multimachine power systemstabilizer design حسب Abido, A.A.

    منشور في 2001
    "…In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine power system stabilizers (PSSs) is proposed. …"
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    article
  18. 98
  19. 99

    Design of PSS and STATCOM-based damping stabilizers using genetic algorithms حسب Abido, M.A.

    منشور في 2006
    "…The design problem of STATCOM-based stabilizers is formulated as an optimization problem. Then, a real-coded genetic algorithm (RCGA) is employed to search for optimal stabilizer parameters. …"
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    article
  20. 100