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Showing 81 - 100 results of 348 for search '(( ((algorithm both) OR (algorithm a)) function ) OR ( algorithm within function ))', query time: 0.16s Refine Results
  1. 81
    Tracking analysis of normalized adaptive algorithms

    Tracking analysis of normalized adaptive algorithms by Moinuddin, M.

    Published 2003
    “…Close agreement between analytical analysis and simulation results is obtained for the case of the NLMS algorithm. The results show that, unlike the stationary case, the steady-state excess-mean-square error is not a monotonically increasing function of the step-size, while the ability of the adaptive algorithm to track the variations in the environment degrades by increasing the frequency offset.…”
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  2. 82
    Evolutionary algorithm for protein structure prediction

    Evolutionary algorithm for protein structure prediction by Mansour, Nashat

    Published 2010
    “…A protein is characterized by its 3D structure, which defines its biological function. …”
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  3. 83
    Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning

    Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning by Sait, Sadiq M.

    Published 2006
    “…A series of experiments are performed to evaluate the efficiency of the algorithms. …”
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  4. 84
    Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994)

    Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994) by Kawash, Jalal Y.

    Published 1994
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  5. 85
    An improved kernelization algorithm for r-Set Packing

    An improved kernelization algorithm for r-Set Packing by Abu-Khzam, Faisal N.

    Published 2010
    “…Such parameterized reductions are known as kernelization algorithms, and a reduced instance is called a problem kernel. …”
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  6. 86
    LINE SEARCH TECHNIQUES FOR THE LOGARITHMIC BARRIER FUNCTION IN QUADRATIC-PROGRAMMING

    LINE SEARCH TECHNIQUES FOR THE LOGARITHMIC BARRIER FUNCTION IN QUADRATIC-PROGRAMMING by Bendaya, M.

    Published 2020
    “…In this paper, we propose a line-search procedure for the logarithmic barrier function in the context of an interior point algorithm for convex quadratic programming. …”
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  7. 87
    Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV

    Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV by Zulkifli, Muhammad

    Published 2013
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  8. 88
    Neural Networks as a Convex Problem

    Neural Networks as a Convex Problem by Khalil, Baha

    Published 2016
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  9. 89
    Belief selection in point-based planning algorithms for POMDPs

    Belief selection in point-based planning algorithms for POMDPs by Azar, Danielle

    Published 2017
    “…Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value function can be derived by interpolation from the values of a specially selected set of points. …”
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  10. 90
    Simultaneous analysis of frequency and voltage control of the interconnected hybrid power system in presence of FACTS devices and demand response scheme

    Simultaneous analysis of frequency and voltage control of the interconnected hybrid power system in presence of FACTS devices and demand response scheme by Sudhanshu Ranjan (17151115)

    Published 2021
    “…System responses have been critically analyzed under Mine Blast Algorithm (MBA) based proportional–integral–derivative (PID) controllers</p><h2>Other Information</h2><p dir="ltr">Published in: Energy Reports<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.egyr.2021.10.100" target="_blank">https://dx.doi.org/10.1016/j.egyr.2021.10.100</a></p>…”
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  11. 91
    Ensemble Deep Random Vector Functional Link Neural Network for Regression

    Ensemble Deep Random Vector Functional Link Neural Network for Regression by Minghui Hu (2457952)

    Published 2022
    “…The esc-edRVFL is identified as the best-performing algorithm through a comprehensive evaluation of 31 UCI datasets.…”
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  12. 92
    Simultaneous stabilization of multimachine power systems viagenetic algorithms

    Simultaneous stabilization of multimachine power systems viagenetic algorithms by Abdel-Magid, Y.L.

    Published 1999
    “…The power system operating at various conditions is treated as a finite set of plants. The problem of selecting the parameters of power system stabilizers which simultaneously stabilize this set of plants is converted to a simple optimization problem which is solved by a genetic algorithm with an eigenvalue-based objective function. …”
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  13. 93
    Evolutionary algorithm for predicting all-atom protein structure

    Evolutionary algorithm for predicting all-atom protein structure by Mansour, Nashat

    Published 2011
    “…This algorithm produces a 3D structure of the whole protein, including back-bone and side-chain atoms, by minimizing the energy function associated with the structure. …”
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  14. 94
    Distributed dimension reduction algorithms for widely dispersed data

    Distributed dimension reduction algorithms for widely dispersed data by Abu-Khzam, F.N.

    Published 2002
    “…Stress function measurements indicate that the distributed algorithm is highly competitive with the original FastMap heuristic.…”
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  15. 95
    Evolutionary algorithms for VLSI multi-objective netlist partitioning

    Evolutionary algorithms for VLSI multi-objective netlist partitioning by Sait, Sadiq M.

    Published 2006
    “…A series of experiments are performed to evaluate the efficiency of the algorithms. …”
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  16. 96
    A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities

    A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities by Mahdi Mokhtarzadeh (11593310)

    Published 2021
    “…To solve the proposed model, four meta-heuristic algorithms, namely multi-objective particle swarm optimization (MOPSO), a non-dominated sorting genetic algorithm (NSGA-II), a hybrid of k-medoids as a famous clustering algorithm and NSGA-II (KNSGA-II), and a hybrid of K-medoids and MOPSO (KMOPSO) are implemented. …”
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  17. 97
    An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis

    An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis by Harmanani, Haidar

    Published 2005
    “…The system handles multicycle functional units as well as structural pipelining. The proposed method was implemented using C++ on a Linux workstation. …”
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  18. 98
    An Artificial Neural Network for Online Tuning of Genetic Algorithm Based PI Controller for Interior Permanent Magnet Synchronous Motor–Drive

    An Artificial Neural Network for Online Tuning of Genetic Algorithm Based PI Controller for Interior Permanent Magnet Synchronous Motor–Drive by Rahman, M. A.

    Published 2006
    “…An artificial neural network (ANN) for online tuning of a genetic algorithm based PI controller for interior permanent magnet synchronous motor (IPMSM) drive is presented in this paper. …”
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  19. 99
    Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems

    Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems by Abdel Magid, Y.L.

    Published 2020
    “…The task of selecting the output feedback gains is converted to a simple optimization problem with an eigenvaluebased objective function, which is solved by a genetic algorithm. …”
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  20. 100
    Time-varying volatility model equipped with regime switching factor: valuation of option price written on energy futures

    Time-varying volatility model equipped with regime switching factor: valuation of option price written on energy futures by Leduc, Guillaume

    Published 2025
    “…We develop a semi-analytical method to determine the price of European options on these energy futures, involving the derivation of the characteristic function for the energy futures' dynamics. …”
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