Showing 221 - 240 results of 256 for search 'objective optimization algorithm', query time: 0.05s Refine Results
  1. 221
    Scatter search for homology modeling

    Scatter search for homology modeling by Mansour, Nashat

    Published 2016
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  2. 222
    A method for data path synthesis using neural networks

    A method for data path synthesis using neural networks by Harmanani, H.

    Published 2017
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  3. 223
    Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast during ramadan (The PROFAST – IT Ramadan study)

    Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d... by Tarik Elhadd (5480393)

    Published 2020
    “…<h3>Objective</h3><p dir="ltr">To develop a machine-based algorithm from clinical and demographic data, physical activity and glucose variability to predict hyperglycaemic and hypoglycaemic excursions in patients with type 2 diabetes on multiple glucose lowering therapies who fast during Ramadan.…”
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  4. 224
    Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates

    Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates by Ratiba F. Ghachi (14152455)

    Published 2022
    “…<h2>Purpose</h2> <p>We present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target low-frequency range. …”
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  5. 225
    MoveSchedule

    MoveSchedule by Zouein, Pierette

    Published 1995
    “…The layout construction algorithm that underlies MoveSchedule uses Constraint Satisfaction to find the set of all positions that meet the constraints on resources' positions and Linear Programming to find the optimal positions that minimize resource transportation and relocation costs. …”
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  6. 226
    How much is location information worth?

    How much is location information worth? by Srour, F. Jordan

    Published 2018
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  7. 227
    A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks

    A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks by Sakib Mahmud (15302404)

    Published 2025
    “…We present a structured taxonomy covering value-based, policy-based, actor-critic, model-based, and advanced multi-agent and multi-objective approaches, and link algorithms to tasks such as dispatch, microgrid coordination, real-time pricing, load balancing, and demand–response. …”
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  8. 228
    Autonomous Demand-Side Management in the Future Smart Grid

    Autonomous Demand-Side Management in the Future Smart Grid by Assaf, Tasneem Mohammad

    Published 2016
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  9. 229
    Enhancement of two-dimensional holographic images by resolutionimprovement through hologram aperture expansion

    Enhancement of two-dimensional holographic images by resolutionimprovement through hologram aperture expansion by Abdel-Aal, R.E.

    Published 1989
    “…The application of the 1-D aperture expansion algorithm to 2-D holograms is demonstrated for the cases of 1-point, 2-point, and quasi-continuous objects in the presence of noise. …”
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  10. 230
    Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment

    Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment by Farhat Mahmood (15468854)

    Published 2023
    “…A robust model predictive control strategy, based on the minimax objective function and particle swarm optimisation algorithm, is developed to handle the uncertainties in the system. …”
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  11. 231
    Shuffled Linear Regression with Erroneous Observations

    Shuffled Linear Regression with Erroneous Observations by Saab, Samer S.

    Published 2019
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  12. 232
    A novel approach for real time flows scheduling

    A novel approach for real time flows scheduling by Fawaz, W.

    Published 2006
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  13. 233
    A hybrid EDF/FIFO queue for efficient real time flow handling

    A hybrid EDF/FIFO queue for efficient real time flow handling by Fawaz, W.

    Published 2006
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  14. 234
    The multi-parameterized cluster editing problem

    The multi-parameterized cluster editing problem by Abu-Khzam, Faisal N.

    Published 2017
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  15. 235
    A nash bargaining solution for energy-efficient content distribution over wireless networks with mobile-to-mobile cooperation

    A nash bargaining solution for energy-efficient content distribution over wireless networks with mobile-to-mobile cooperation by Yaacoub, Elias

    Published 2018
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  16. 236
    Developing a Cooperative Behavior for Multi Agents System Application to Robot Soccer

    Developing a Cooperative Behavior for Multi Agents System Application to Robot Soccer by Idlan, Ayman Hashim

    Published 2007
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  17. 237
    Performance driven standard-cell placement using the geneticalgorithm

    Performance driven standard-cell placement using the geneticalgorithm by Youssef, H.

    Published 1995
    “…Current placement systems attempt to optimize several objectives, namely area, connection length, and timing performance. …”
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  18. 238
    Iterative heuristics for multiobjective VLSI standard cellplacement

    Iterative heuristics for multiobjective VLSI standard cellplacement by Sait, Sadiq M.

    Published 2001
    “…We employ two iterative heuristics for the optimization of VLSI standard cell placement. These heuristics are based on genetic algorithms (GA) and tabu search (TS) respectively. …”
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  19. 239
    General iterative heuristics for VLSI multiobjective partitioning

    General iterative heuristics for VLSI multiobjective partitioning by Sait, Sadiq M.

    Published 2003
    “…In this paper, we engineer two iterative heuristics for the optimization of VLSI netlist bi-Partitioning. These heuristics are based on Genetic Algorithms (GAs) and Tabu Search (TS) and incorporate fuzzy rules in order to handle the multiobjective cost function. …”
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  20. 240
    How many clusters exist? Answer via maximum clustering similarity implemented in R

    How many clusters exist? Answer via maximum clustering similarity implemented in R by Zogheib, Bashar

    Published 2019
    “…Seven clustering algorithms, existing in R©, are implemented in MCSim. …”
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