يعرض 81 - 100 نتائج من 349 نتيجة بحث عن '(( algorithm where function ) OR ((( algorithm a function ) OR ( algorithm cost function ))))', وقت الاستعلام: 0.16s تنقيح النتائج
  1. 81

    Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation حسب Abualigah, Laith

    منشور في 2023
    "…This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. …"
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  2. 82

    A systolic algorithm for VLSI design of a 1/N rate Viterbi decoder حسب Sait, Sadiq M.

    منشور في 1989
    "…The systolic algorithm is modeled in AHPL to verify functional correctness. …"
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    article
  3. 83
  4. 84

    A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems حسب Wali Khan Mashwani (14590504)

    منشور في 2021
    "…In this paper, a multiswarm-intelligence-based algorithm (MSIA) is developed to cope with bound constrained functions. …"
  5. 85

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

    منشور في 2000
    "…In this work, tabu search placement algorithm is parallelized on a network of workstations using PVM. …"
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    article
  6. 86

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

    منشور في 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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    article
  7. 87

    Computational evluation of protein energy functions حسب Mansour, Nashat

    منشور في 2014
    "…In this project, we carry out a computational evaluation of putative protein energy functions. …"
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    conferenceObject
  8. 88

    A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems حسب Bilal Khurshid (16715865)

    منشور في 2024
    "…<p dir="ltr">This study investigates the no-wait flow shop scheduling problem and proposes a hybrid (HES-IG) algorithm that utilizes makespan as the objective function. …"
  9. 89

    Random vector functional link network: Recent developments, applications, and future directions حسب A.K. Malik (16003193)

    منشور في 2023
    "…To overcome these issues, randomization based neural networks such as random vector functional link (RVFL) network have been proposed. RVFL model has several characteristics such as fast training speed, direct links, simple architecture, and universal approximation capability, that make it a viable randomized neural network. …"
  10. 90

    GAP - A GENETIC ALGORITHM APPROACH TO OPTIMIZE 2-BIT DECODER PLAS حسب Benten, M. S.

    منشور في 2020
    "…This paper describes a minimization procedure that uses a genetic algorithm approach to reduce the size to the two bit decoder PLAs. …"
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    article
  11. 91

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

    منشور في 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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    article
  12. 92
  13. 93

    BUC algorithm for iceberg cubes حسب Nasr, George E.

    منشور في 2003
    "…In this paper, we implement the Bottom-Up Computation (BUC) algorithm for computing Iceberg cubes and conduct a sensitivity analysis of BUC with respect to the probability density function of the data. …"
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    conferenceObject
  14. 94

    Cross entropy error function in neural networks حسب Nasr, G.E.

    منشور في 2002
    "…The ANN is implemented using the cross entropy error function in the training stage. The cross entropy function is proven to accelerate the backpropagation algorithm and to provide good overall network performance with relatively short stagnation periods. …"
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    conferenceObject
  15. 95

    Evolution Of Activation Functions for Neural Architecture Search حسب Nader, Andrew

    منشور في 2020
    "…However, to the best of our knowledge, the design of new activation functions has mostly been done by hand. In this work, we propose the use of a self-adaptive evolutionary algorithm that searches for new activation functions using a genetic programming approach, and we compare the performance of the obtained activation functions to ReLU. …"
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    masterThesis
  16. 96

    Thyristor controlled phase shifter based stabilizer design usingsimulated annealing algorithm حسب Abido, M.A.

    منشور في 1999
    "…This paper presents a thyristor controlled phase shifter (TCPS) based stabilizer design using the simulated annealing (SA) algorithm. …"
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    article
  17. 97

    From Collatz Conjecture to chaos and hash function حسب Masrat Rasool (17807813)

    منشور في 2023
    "…By incorporating the Collatz process and carefully considering key-controlled variables, the proposed model aims to offer enhanced security properties while meeting the necessary criteria for a reliable and effective hashing mechanism. The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …"
  18. 98

    GATS: A Novel Hybrid Algorithm for Multiobjective Cell Placement in VLSI Circuit Design حسب Sait, Sadiq M.

    منشور في 2020
    "…This paper addresses the optimization of cell placement step in VLSI circuit design [1]. A novel hybrid algorithm is proposed for performance and low power driven VLSI standard cell placement. …"
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    article
  19. 99
  20. 100

    Tracking analysis of normalized adaptive algorithms حسب Moinuddin, M.

    منشور في 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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    article