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optimizations optimization » optimizations application (توسيع البحث)
يعرض 321 - 340 نتائج من 759 نتيجة بحث عن 'optimizations optimization algorithm', وقت الاستعلام: 0.06s تنقيح النتائج
  1. 321

    Developing a resilient framework for electric vehicle charging stations harnessing solar energy, standby batteries and grid integration with advanced control mechanisms حسب Debabrata Mazumdar (18560506)

    منشور في 2024
    "…Consequently, this article presents and evaluates a system that utilizes a proportional‐integral‐derivative controller, a neural network‐equipped grid and a charging station utilizing a Dragon Fly Optimization Algorithm to generate power and a maximum power point tracking controller. …"
  2. 322

    An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling حسب ALKETBI, SAIF

    منشور في 2016
    "…The results showed the proposed methodology outperformed existing algorithms in optimizing project durations and resources allocation. …"
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  3. 323

    Adaptive PPO With Multi-Armed Bandit Clipping and Meta-Control for Robust Power Grid Operation Under Adversarial Attacks حسب Mohamed Massaoudi (16888710)

    منشور في 2025
    "…This paper proposes a novel composite enhanced proximal policy optimization (CePPO) algorithm to improve power grid operation under adversarial conditions. …"
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  5. 325

    Scalable parallel algorithms for difficult combinatorial problems حسب Abu-Khzam, Faisal N.

    منشور في 2004
    "…A novel combination of emergent algorithmic methods, powerful computational platforms and supporting infrastructure is described. …"
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    conferenceObject
  6. 326

    Genetic algorithms applications in load frequency control حسب Abdel-Magid, Y.L.

    منشور في 1995
    "…This paper deals with the application of genetic algorithms for optimizing the parameters of conventional automatic generation control (AGC) systems. …"
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    article
  7. 327

    A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM حسب Selim, S.Z.

    منشور في 2020
    "…In this paper we discuss the solution of the clustering problem usually solved by the K-means algorithm. The problem is known to have local minimum solutions which are usually what the K-means algorithm obtains. …"
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    article
  8. 328

    A simulated annealing algorithm for unit commitment حسب Mantawy, A.H.

    منشور في 1998
    "…This paper presents a simulated annealing algorithm (SAA) to solve the unit commitment problem (UCP). …"
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    article
  9. 329

    A new multimodulus blind equalization algorithm حسب Abrar, Shafayat

    منشور في 2004
    "…The phase-recovery and intersymbol interference optimization properties, exhibited by the proposed algorithm, are also discussed.…"
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    article
  10. 330

    Adaptive bias simulated evolution algorithm for placement حسب Youssef, H.

    منشور في 2001
    "…Simulated Evolution (SE) is a general meta-heuristic for combinatorial optimization problems. A new solution is evolved from current solution by relocating some of the solution elements. …"
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    article
  11. 331

    A New Parallel Genetic Algorithm Model حسب Al-Somani, Turki F.

    منشور في 2020
    "…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …"
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    article
  12. 332

    Metaheuristic Algorithm for State-Based Software Testing حسب Haraty, Ramzi A.

    منشور في 2018
    "…We formulate the testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …"
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    article
  13. 333
  14. 334

    Scatter Search algorithm for Protein Structure Prediction حسب Mansour, Nashat

    منشور في 2016
    "…The results show that our algorithm is able to produce 3D structures with good sub-optimal energy values. …"
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    article
  15. 335
  16. 336

    Hybrid Interval Type-2 Fuzzy PID+I Controller for a Multi-DOF Oilwell Drill-String System حسب Abdelbaset Laib (16904688)

    منشور في 2022
    "…<p>The control of multibody drill-string systems is not easy and designing such systems is considered challenging because of the difficulty in the dynamic analysis of its nonlinear characteristics and parametric uncertainties. An optimal hybrid interval Type-2 fuzzy PID+I logic controller (OH-IT2FPID+I) using a practical swarm optimization algorithm for a multi-degree-of-freedom oil well drill-string system is proposed in this paper. …"
  17. 337

    Impact of Charging Electric Vehicles under Different State of Charge Levels and Extreme Conditions حسب Claude Ziad El-Bayeh (17542284)

    منشور في 2021
    "…This paper defines extreme conditions as the state of a load or network that breaks the limits of the constraints in an optimization model. Once these constraints are violated, the optimization algorithm might not work correctly and might not converge to a feasible solution, especially when the complexity of the system increases and includes nonlinearities. …"
  18. 338

    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
  19. 339

    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
  20. 340

    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