يعرض 81 - 100 نتائج من 556 نتيجة بحث عن '(( constrained optimization algorithm ) OR ( based optimization algorithm ))*', وقت الاستعلام: 0.09s تنقيح النتائج
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    Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

    منشور في 2020
    "…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. …"
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  4. 84

    Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm حسب Youssef, H.

    منشور في 2020
    "…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. …"
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    article
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    Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks حسب Bekir Sait Ciftler (17541801)

    منشور في 2021
    "…Our simulation results show that the distributed DDPG-based algorithm learns to adapt against changes in the channel or user requirements, while centralized Genetic Algorithm and Particle Swarm Optimization-based algorithms fail to endure against these changes even with coordination between APs. …"
  10. 90

    Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area Networks حسب El-Abd, Mohammed

    منشور في 2024
    "…The backoff algorithm employed by the medium access control (MAC) protocol of the IEEE 802.15.4 standard has a significant impact on the overall performance of the wireless sensor network (WSN). …"
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  11. 91

    Improved Adaptive Backoff Algorithm for Optimal Channel Utilization in Large-Scale IEEE 802.15.4-Based Wireless Body Area Networks حسب El-Abd, Mohammed

    منشور في 2024
    "…The backoff algorithm employed by the medium access control (MAC) protocol of the IEEE 802.15.4 standard has a significant impact on the overall performance of the wireless sensor network (WSN). …"
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  12. 92

    A combined ant colony optimization and simulated annealing algorithm to assess Stability and fault-proneness of classes based on internal software quality attributes حسب Azar, Danielle

    منشور في 2016
    "…A Combined Ant Colony Optimization and Simulated Annealing Algorithm to Assess Stability and Fault-Proneness of Classes Based on Internal Software Quality Attributes. …"
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    article
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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
    "…This work investigates the capability of the Arithmetic Optimization Algorithm to discover the best multilayer thresholding for picture segmentation to circumvent this issue. …"
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    Brain Storm Optimization Algorithm with Re-initialized Ideas and Adaptive Step Size حسب El-Abd, Mohammed

    منشور في 2016
    "…Brain Storm Optimization (BSO) is a recently developed population-based algorithm to mimic the brainstorming process in humans. …"
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  17. 97
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    Optimal multiobjective design of robust power system stabilizers using genetic algorithms حسب Abdel-Magid, Y.L.

    منشور في 2003
    "…The problem of robustly selecting the parameters of the power system stabilizers is converted to an optimization problem which is solved by a genetic algorithm with the eigenvalue-based multiobjective function. …"
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    article
  19. 99

    A Hybrid Flower Pollination with p-Hill Climbing Algorithm for Global Optimization حسب Abou Doush, Iyad

    منشور في 2021
    "…Such hybridization aims to enhance the balance between exploration and exploitation processes during the search, thus improving the quality of the outcomes. -hill climbing optimizer is a recent trajectory-based algorithm with a powerful digging the niche to search and find the local optimum, while FPA is a recent population-based algorithm with robust mining several niches in the search space without proper concentration. …"
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  20. 100

    A new family of multi-step quasi-Newton algorithms for unconstrained optimization حسب Obeid, Samir

    منشور في 1999
    "…It concentrates on deriving a variable-metric family of minimum curvature algorithms for unconstrained optimization. The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …"
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    article