Showing 61 - 80 results of 107 for search '(( algorithm cost function ) OR ((( algorithms within function ) OR ( algorithm cl function ))))', query time: 0.12s Refine Results
  1. 61

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

    Published 1997
    “…Various objective functions are presented allowing the selection of the output feedback gains to place the closed loop eigenvalues in the left hand side of a vertical line in the complex s plane, within an open sector in the complex s plane, or within a vertical strip in the complex s plane. …”
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  2. 62

    Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization by De Rochechouart, Maxence

    Published 2023
    “…The work demonstrates how machine learning techniques can capture resource allocation policy and help avoid the complexity of having to re-calculate cost function at every time step, especially when we have many radars and many cameras.…”
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  3. 63
  4. 64

    Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing by Xin Li (51274)

    Published 2020
    “…Subsequently, we propose a method to measure the cost-effectiveness of allocated resources and energy savings, named value density function. …”
  5. 65

    Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network by Monzure-Khoda Kazi (17191207)

    Published 2024
    “…These algorithms include random forest (RF) classification and artificial neural networks (ANN). …”
  6. 66

    A lightweight adaptive compression scheme for energy-efficient mobile-to-mobile file sharing applications by Sharafeddine, Sanaa

    Published 2011
    “…Moreover, if the transmission rate over the wireless medium is high then the need for compression might be reduced or even eliminated as data is transferred efficiently within a limited amount of time. We evaluate and optimize the performance of the proposed adaptive compression scheme using experimental measurements in different scenarios and as a function of various parameters. …”
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  7. 67
  8. 68

    A novel network-based SIS framework for improved GA performance by Tohme, Rawane

    Published 2025
    “…To address these challenges, this work introduces SIS-NGA which integrates the Susceptible-Infected-Susceptible (SIS) epidemic model and Genetic Algorithms within a scale-free network topology, to guide the search for optimal solutions. …”
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    masterThesis
  9. 69

    Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle by Reza Jafari (3494018)

    Published 2025
    “…Furthermore, the reduction in sideslip angle, excellent traction through minimizing tire slip ratio, avoiding oversteering and understeering, and maintaining an acceptable range of energy optimization are demonstrated for DRL controllers, especially for the TD3 and CL TD3 algorithms.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: IEEE Open Journal of Vehicular Technology<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/ojvt.2025.3606120" target="_blank">https://dx.doi.org/10.1109/ojvt.2025.3606120</a></p>…”
  10. 70

    Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks by Kherraf, Nouha

    Published 2019
    “…We analyze the effectiveness of the proposed algorithm through extensive simulations and highlight valuable performance trends and trade-offs as a function of various system parameters.…”
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  11. 71

    A simplified sliding‐mode control method for multi‐level transformerless DVR by Hasan Komurcugil (16388513)

    Published 2022
    “…Second, an effective method based on charging/discharging conditions of DC capacitors is proposed for balancing capacitor voltages using relevant switching state rather than combining DC voltage error with the inductor current error through a suitable weighting factor in forming the cost function. Therefore, the weighting factor necessity in the control algorithm is eliminated. …”
  12. 72
  13. 73

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

    Published 2001
    “…Fuzzy rules are incorporated in order to design a multiobjective cost function that integrates the costs of three objectives in a single overall cost value. …”
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  14. 74

    Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System by Alaa Altawallbeh (22565837)

    Published 2025
    “…We further propose a hybrid Particle Swarm Optimization (PSO) algorithm with a multi-objective cost function to optimize VSG controller gains. …”
  15. 75

    A microscale evaluation of pavement roughness effects for asset management by El Khoury, John

    Published 2013
    “…In this paper, the authors present a method to automate data collection and mapping of pavement roughness on various functional classification roadways and to quantify fuel consumption for enhanced benefit-to-cost analysis, asset management and infrastructure investment strategies. …”
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  16. 76
  17. 77

    Parallel tabu search in a heterogeneous environment by Al-Yamani, A.

    Published 2003
    “…We discuss a parallel tabu search algorithm with implementation in a heterogeneous environment. …”
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  18. 78

    EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING by Sait, Sadiq M.

    Published 2020
    “…Fuzzy rules are incorporated in order to design a multiobjective cost function. Both the techniques are applied to ISCAS-85/89 benchmark circuits and experimental results are reported and compared.…”
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    article
  19. 79

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

    Published 2020
    “…The various steps of the SE approach are discussed in details. Goodness functions required by SE are designed and explained. …”
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    article
  20. 80

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

    Published 2003
    “…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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