يعرض 141 - 160 نتائج من 242 نتيجة بحث عن '(( objective optimization algorithm ) OR ( migration optimization algorithm ))', وقت الاستعلام: 0.09s تنقيح النتائج
  1. 141

    Optimum Partition of Power Networks Using Singular Value Decomposition and Affinity Propagation حسب Maymouna Ez Eddin (21633650)

    منشور في 2024
    "…From this perspective, this paper proposes an efficient framework for fast and optimal PGP, based on singular value decomposition analysis of the graph's Laplacian. …"
  2. 142
  3. 143

    Net energy–cost optimization of STPV–PDRC integrated greenhouses: Balancing energy production and cooling demand under crop-specific DLI constraints حسب Mohammadreza Gholami (17032317)

    منشور في 2025
    "…An improved equilibrium optimizer (IEO) algorithm was employed to solve the multi-objective problem. …"
  4. 144
  5. 145

    A combined resource allocation framework for PEVs charging stations, renewable energy resources and distributed energy storage systems حسب Kandil, Sarah M.

    منشور في 2017
    "…The formulation employs a general objective function that optimizes the total Annual Cost of Energy (ACOE). …"
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    article
  6. 146

    Dynamic performance evaluation and machine learning-assisted optimization of a solar-driven system integrated with PCM-based thermal energy storage: A case study approach حسب Haitham Osman (11737057)

    منشور في 2025
    "…<p>This paper presents the design, modeling, and multi-objective optimization of an advanced solar energy system based on concentrated solar power technology, aimed at sustainable electricity generation in urban environments. …"
  7. 147

    A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand حسب Khawar Naeem (17984062)

    منشور في 2023
    "…The models included agent-based modeling (ABM), Bayesian networking (BN), analytical hierarchy approach (AHP), and simulation optimization multi-objective optimization (MOO). The solution approaches included the genetic algorithm (GA), particle swarm optimization (PSO), and the non-dominated sorting genetic algorithm (NSGA-II). …"
  8. 148

    Software defect prediction. (c2019) حسب Moussa, Rebecca

    منشور في 2019
    "…One that focuses on predicting defect in software modules using a hybrid heuristic - a combination of Particle Swarm Optimization (PSO) and Genetic Algorithms (GA). We compare our approach to 9 well known machine learning techniques and results show the advantages of our model over the other techniques. …"
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    masterThesis
  9. 149

    DRL-Based IRS-Assisted Secure Visible Light Communications حسب Danya A. Saifaldeen (19498705)

    منشور في 2022
    "…The DDPG-based algorithm provides an optimized solution that can adapt to the large size of design parameters and act fast to the channel variations due to users’ mobility. …"
  10. 150

    Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers حسب Zain Ul Abideen Tariq (17984107)

    منشور في 2024
    "…Hence, we leverage the light-weight Deep Reinforcement Learning (DRL) technique called Deep Deterministic Policy Gradient (DDPG) to optimize trajectory and IRS phase shifts and achieve multiple objectives jointly. …"
  11. 151
  12. 152

    Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas حسب Marwan Dhuheir (19170898)

    منشور في 2024
    "…We conducted extensive simulations and compared our approach with two state-of-the-art models using traditional RL algorithms represented by a deep Q-network algorithm, a Particle Swarm Optimization (PSO) algorithm, and one greedy solution. …"
  13. 153
  14. 154

    Power system output feedback stabilizer design via geneticalgorithms حسب Abdel-Magid, Y.L.

    منشور في 1997
    "…A digital simulation of the power system is then used in conjunction with the genetic algorithm to determine the output feedback gains. In the second method, the problem of selecting the output feedback gains is converted to a simple optimization problem with an eigenvalue based objective function, which is solved by a genetic algorithm. …"
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    article
  15. 155

    GENETIC SCHEDULING OF TASK GRAPHS حسب Benten, M. S.

    منشور في 2020
    "…The problem of assigning tasks to processing elements as a combinatorital optimization is formulated, and a heuristic based on a genetic algorithm is presented. …"
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    article
  16. 156

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

    منشور في 2020
    "…Abstract This paper presents a Fuzzy Simulated Evolution algorithm for VLSI standard cell placement with the objective of minimizing power, delay and area. …"
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    article
  17. 157

    An innovative simulated annealing approach to the long-term hydroscheduling problem حسب Mantawy, A.H.

    منشور في 2001
    "…A significant reduction in the number of the objective function evaluations, and consequently less iterations are required to reach the optimal solution. …"
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    article
  18. 158

    "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
  19. 159

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

    منشور في 2006
    "…In this paper, a novel technique is presented to address this hard problem, while optimizing multiple objectives. A major difculty with such multi-objective combinatorial optimization problems is the existence of a very large solution search space, one of which is the desired optimal solution. …"
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    article
  20. 160

    Robust tuning of power system stabilizers in multimachine powersystems حسب Abdel-Magid, Y.L.

    منشور في 2000
    "…The problem of selecting the stabilizer parameters is converted to a simple optimization problem with an eigenvalue-based objective function, which is solved by a tabu search algorithm. …"
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    article