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  1. 1
    A New Penalty Function Algorithm For Convex Quadratic Programming

    A New Penalty Function Algorithm For Convex Quadratic Programming by Bendaya, M.

    Published 2020
    “…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …”
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  2. 2
    An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection

    An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection by Abu Zitar, Raed

    Published 2022
    “…The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …”
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  3. 3
    A new tabu search algorithm for the long-term hydro scheduling problem

    A new tabu search algorithm for the long-term hydro scheduling problem by Mantawy, A.H.

    Published 2002
    “…The proposed implementation contributes to the enhancement of speed and convergence of the original tabu search algorithm (TSA). A significant reduction in the objective function over previous classical optimization methods and a simulated annealing algorithm has been achieved. …”
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  4. 4
    Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm

    Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm by De Rochechouart, Maxence

    Published 2023
    “…The results show an optimum resource allocation with an information-based cost function that is optimized by an Auction Algorithm.…”
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  5. 5
    Adaptive step-size sign least mean squares

    Adaptive step-size sign least mean squares by Aldajani, M.A.

    Published 2004
    “…A powerful adaptation scheme is used to adapt the step-size of the sign function inside the recursion of the sign algorithm. …”
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  6. 6
    Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids

    Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids by Khayata, Mohammad Tarek

    Published 2017
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  7. 7
    Iterative Least Squares Functional Networks Classifier

    Iterative Least Squares Functional Networks Classifier by Faisal, Kanaan A

    Published 2007
    “…The study was achieved with only sets of second-order linearly independent polynomial functions to approximate the neuron functions. …”
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  8. 8
    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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  9. 9
    A Stochastic Newton-Raphson Method with Noisy Function Measurements

    A Stochastic Newton-Raphson Method with Noisy Function Measurements by Saab, Khaled Kamal

    Published 2016
    “…The development of the proposed optimal algorithm is based on minimizing a stochastic performance index. …”
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  10. 10
    A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation

    A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation by Iman M. Hosseini Naveh (16891482)

    Published 2021
    “…The role of the proposed quasi oppositional based SMPID controller is to modify the tracking strategy on AC/HVDC interconnected systems while reducing the related cost function. The proposed analysis is established considering the most highly cited, well-known tested and newly expanded swarm-based optimization algorithms (SBOAs), such as Grasshopper Optimization Algorithm (GOA), Grey Wolf Optimization (GWO), Artificial Fish Swarm Algorithm (AFSA), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). …”
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  11. 11
    A Comparative Study of Elgamal Based Cryptographic Algorithms

    A Comparative Study of Elgamal Based Cryptographic Algorithms by Haraty, Ramzi A.

    Published 2004
    “…In this work we implement the classical and modified ElGamal cryptosystem to compare and to test their functionality, reliability and security. To test the security of the algorithms we use a famous attack algorithm called Baby-Step-Giant algorithm which works in the domain of natural integers. …”
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  12. 12
    Genetic and heuristic algorithms for regrouping service sites. (c2000)

    Genetic and heuristic algorithms for regrouping service sites. (c2000) by Tabbara, Hiba

    Published 2000
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  13. 13
    Mobile robots obstacles avoidance using dynamic window approach

    Mobile robots obstacles avoidance using dynamic window approach by Abubakr, Omer Ali

    Published 2018
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  14. 14
    Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm

    Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm by Zerguine, A.

    Published 2000
    “…In this work, the convergence analysis of the variable weight mixed-norm LMS-LMF (least mean squares-least mean fourth) adaptive algorithm is derived. The proposed algorithm minimizes an objective function defined as a weighted sum of the LMS and LMF cost functions where the weighting factor is time varying and adapts itself so as to allow the algorithm to keep track of the variations in the environment. …”
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  15. 15
    Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities

    Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities by Moinuddin, M.

    Published 2003
    “…The results show that, unlike in the stationary case, the steady-state excess MSE is not a monotonically increasing function of the step size. Moreover, the ability of the adaptive algorithm to track the variations in the environment is shown to degrade with increasing frequency offset.…”
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  16. 16
    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms

    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms by Humna Khan (17541972)

    Published 2022
    “…The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …”
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  17. 17
    A comparative study of ElGamal based digital signature algorithms

    A comparative study of ElGamal based digital signature algorithms by Haraty, Ramzi A.

    Published 2006
    “…We implement the classical and modified ElGamal digital signature scheme to compare and to test their functionality, reliability and security. To test the security of the algorithms we use a famous attack algorithm called Baby-Step-Giant algorithm which works in the domain of natural integers. …”
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  18. 18
    A parallel tabu search algorithm for VLSI standard-cell placement

    A parallel tabu search algorithm for VLSI standard-cell placement by Suit, S.M.

    Published 2000
    “…The objective of the algorithm is to achieve the best possible solution in terms of interconnection length, overall area of the circuit, and critical path delay (circuit speed). …”
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  19. 19
    Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter

    Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter by Syed Rahman (569240)

    Published 2019
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  20. 20
    A New Genetic-Based Tabu Search Algorithm For Unit Commitment Problem

    A New Genetic-Based Tabu Search Algorithm For Unit Commitment Problem by Mantawy, A. H.

    Published 2020
    “…A significant improvement of the proposed algorithm results, over those obtained by either genetic algorithm or tabu search, has been achieved. …”
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