يعرض 41 - 60 نتائج من 159 نتيجة بحث عن '(( algorithm protein function ) OR ((( algorithm ai function ) OR ( algorithm from function ))))', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 41

    Spherical cavity-expansion forcing function in PRONTO 3D for application to penetration problems حسب Tabbara, Mazen R.

    منشور في 2017
    "…In this spirit, a forcing function which is derived from a spherical-cavity expansion analysis has been implemented in PRONTO 3D. …"
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    conferenceObject
  2. 42

    Evolutionary algorithms, simulated annealing and tabu search: a comparative study حسب Youssef, H.

    منشور في 2020
    "…Abstract Evolutionary algorithms, simulated annealing (SA), and tabu search (TS) are general iterative algorithms for combinatorial optimization. …"
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    article
  3. 43

    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. …"
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    Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images حسب Abu Zitar, Raed

    منشور في 2023
    "…The solutions are evaluated using Otsu's fitness function throughout the optimization process. The picture histogram is used to display the algorithm's potential solutions. …"
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  6. 46

    Integrating genetic algorithms, tabu search, and simulatedannealing for the unit commitment problem حسب Mantawy, A.H.

    منشور في 1999
    "…The fitness function is constructed from the total operating cost of the generating units without penalty terms. …"
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    article
  7. 47

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

    منشور في 2022
    "…The plant height of wild blueberry, field slope, and fruit zone readings were collected from each of the plots. For the purpose of predicting ground loss as a function of fruit zone, plant height, fruit production, slope, leaf loss, and blower damage, three ML models i.e., support vector regression (SVR), linear regression (LR), and random forest (RF)—were used. …"
  8. 48

    Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms حسب Zhongqiang Ma (13765801)

    منشور في 2023
    "…Generally, the inventors attribute the novelties of these new algorithms to inspirations from either biology, human behaviors, physics, or other phenomena. …"
  9. 49

    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
  10. 50

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

    منشور في 2022
    "…FS is an important data reduction step in data mining which finds the most representative features from the entire data. Many FS-based swarm intelligence algorithms have been used to tackle FS. …"
  11. 51

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

    منشور في 2020
    "…A fitness function is constructed from the total operating cost of the generating units without penalty terms. …"
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    article
  12. 52

    Integrating Genetic Algorithms, Tabu Search, And Simulated Annealing For The Unit Commitment Problem حسب Montawy, A.H.

    منشور في 2020
    "…The fitness function is constructed from the total operating cost of the generating units without penalty terms. …"
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    article
  13. 53

    Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization حسب Abu Zitar, Raed

    منشور في 2022
    "…The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …"
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  14. 54

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

    منشور في 2020
    "…Due to imprecise nature of objective values, fuzzy logic is incorporated in the design of aggregating function. The above technique is applied to the placement of ISCAS-89 benchmark circuits and the results are compared with those obtained from individual application of GA and TS on this problem.…"
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    article
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    Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing حسب Jincheng Zhou (1887307)

    منشور في 2023
    "…<p dir="ltr">Load balancing is a serious problem in cloud computing that makes it challenging to ensure the proper functioning of services contiguous to the Quality of Service, performance assessment, and compliance to the service contract as demanded from cloud service providers (CSP) to organizations. …"
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    A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models حسب Osama Bassam J. Rabie (21323741)

    منشور في 2024
    "…The main contribution of this paper is to develop a simple as well as intelligent security framework for protecting IoT from cyber-attacks. For this purpose, a combination of Decisive Red Fox (DRF) Optimization and Descriptive Back Propagated Radial Basis Function (DBRF) classification are developed in the proposed work. …"
  19. 59

    An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure حسب Mouna Rabhi (17086969)

    منشور في 2024
    "…An extensive simulation study demonstrates the viability and efficiency of the proposed algorithm under various node failure models, and relevant metrics (e.g., node queue dimension, number of exchanged messages, and number of disconnected nodes) indicate a graceful degradation in performance with decreasing number of functioning nodes. …"
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