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Showing 81 - 100 results of 136 for search '(( algorithm its function ) OR ( algorithm cost function ))', query time: 0.10s Refine Results
  1. 81
    Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems

    Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems by Sadjadi, Hossein

    Published 2009
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  2. 82
    The Use of Enumerative Techniques in Topological Optimization of Computer Networks Subject to Fault Tolerance and Reliability

    The Use of Enumerative Techniques in Topological Optimization of Computer Networks Subject to Fault Tolerance and Reliability by Abd-El-barr, Mostafa

    Published 2003
    “…It is shown that improving the fault tolerance of a network can be achieved while optimizing its reliability however at the expense of a reasonable increase in the overall cost of the network while remaining within a maximum pre-specified cost constraint.…”
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  3. 83
    Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks

    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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  4. 84
    Improving the Resilience of Smart Distribution Networks against Cyber Attacks

    Improving the Resilience of Smart Distribution Networks against Cyber Attacks by ElYamani, Mohamed ElHusseiny Mohamed

    Published 2022
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  5. 85
    Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization

    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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  6. 86
    A Stochastic Approach To Solving The Weight Setting Problem in OSPF Networks

    A Stochastic Approach To Solving The Weight Setting Problem in OSPF Networks by Shaik, Muzibur Rehman

    Published 2007
    “…One of the contributions in attempting to maintain the proper functioning of internetworking is made by the Open Shortest Path First (OSPF) protocol. …”
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  7. 87
    Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing

    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. …”
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  8. 88
    Shuffled Linear Regression with Erroneous Observations

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

    Published 2019
    “…We propose an optimal recursive algorithm that updates the estimate from the underdetermined function that is based on that permutation-invariant constraint. …”
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  9. 89
    A modified optimal design of a vibration absorber for ground motion isolation

    A modified optimal design of a vibration absorber for ground motion isolation by Issa, Jimmy S.

    Published 2014
    “…The optimal parameters are plotted and several examples are considered where the objective function is plotted in its approximate and exact optimal shapes.…”
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  10. 90
    Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management

    Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management by Alhusin, Mohammed Omer Alamin

    Published 2019
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  11. 91
    UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices

    UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices by Samir, Moataz

    Published 2019
    “…We demonstrate the favourable characteristics of the proposed algorithms via extensive simulation results and analysis as a function of various system parameters, with benchmarking against two greedy algorithms based on distance and deadline metrics.…”
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  12. 92
    Joint distributed synchronization and positioning in UWB ad hoc networks using TOA

    Joint distributed synchronization and positioning in UWB ad hoc networks using TOA by Denis, B.

    Published 2006
    “…Finally, the proposed distributed maximum log-likelihood algorithm proves to preserve a reasonable level of complexity in each node by approximating asynchronously the positive gradient direction of the log-likelihood function. …”
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  13. 93
    Autonomous Robot Navigation Based On Recurrent Neural Networks

    Autonomous Robot Navigation Based On Recurrent Neural Networks by Al-Sagban, Mariam Qusai

    Published 2012
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  14. 94
    Metaheuristic Optimization‐Based Sliding Mode Control With Modified Perturb and Observe for Controlling MPPT of a PV Interfaced Grid Connected System

    Metaheuristic Optimization‐Based Sliding Mode Control With Modified Perturb and Observe for Controlling MPPT of a PV Interfaced Grid Connected System by Anupama Ganguly (22502969)

    Published 2025
    “…Also, the proposed hybrid (MGO‐MPb&O) is compared with two other hybrid control topologies that are (PSO‐MPb&O) and (cuckoo search algorithm [CSA]‐MPb&O) in terms of maximum power extracted, efficiency, and convergence time of the objective function. …”
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  15. 95
    A simplified sliding‐mode control method for multi‐level transformerless DVR

    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. …”
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  16. 96
    The maximum common subgraph problem

    The maximum common subgraph problem by Abu-Khzam, Faisal N.

    Published 2017
    “…This is made possible by exploiting an efficient decomposition of a graph into a minimum vertex cover and the maximum independent set in its complement. The result is an algorithm whose run time is bounded by a function exponential in the order of the smaller cover rather than in the order of the smaller graph.…”
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  17. 97
    Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants

    Weak-coupling, strong-coupling and large-order parametrization of the hypergeometric-Meijer approximants by Abouzeid M. Shalaby (16810695)

    Published 2020
    “…To test the validity of that constraint, we employed it to obtain the exact partition function of the zero-dimensional Ø<sup>4</sup> scalar field theory. …”
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  18. 98
    Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network

    Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network by Fares Almomani (12585685)

    Published 2020
    “…The developed model can be used to forecast the CMP as a function of operating temperature, the substrate composition, and chemical dose, and can be used for scaling-up and cost analysis purposes.…”
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  19. 99
    Iterative heuristics for multiobjective VLSI standard cellplacement

    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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  20. 100
    On-demand deployment of multiple aerial base stations for traffic offloading and network recovery

    On-demand deployment of multiple aerial base stations for traffic offloading and network recovery by Sharafeddine, Sanaa

    Published 2019
    “…We present performance results for the proposed algorithm as a function of various system parameters and demonstrate its effectiveness compared to the close-to-optimal greedy approach and its superiority compared to recent related work from the literature.…”
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