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    Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization by Abu Zitar, Raed

    Published 2024
    “…The IPDOA performance was compared with the other 8 metaheuristic optimization algorithms and the testing showed its superiority over those techniques for solving this complex problem. …”
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    EVALUATION OF OPTIMIZATION METHODS FOR MACHINING ECONOMICS MODELS by Duffuaa, S. O.

    Published 2020
    “…In machining operations it is desirable to operate under optimal machining conditions. The optimal cutting conditions are obtained by solving machining optimization models. …”
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    article
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    Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems by Tarek Berghout (16905132)

    Published 2021
    “…Hyperparameters tuning including the network architecture, is fully automated by incorporating Particle Swarm Optimization (PSO) technique. The designed learning process is evaluated on a complex industrial plant as well as various classification problems. …”
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    THE FORMULATION OF A BUILDING THERMAL DESIGN OPTIMIZATION MODEL by Al-Homoud, Mohammad S.

    Published 2020
    “…The aim of this paper is to describe the formulation of an optimization model for the thermal design of building envelopes. …”
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    article
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    Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models by Saad Hameed (6488738)

    Published 2025
    “…While Particle Swarm Optimization (PSO) and Large Language Models (LLMs) have been individually applied in optimization and deep learning, their combined use for enhancing convergence in numerical optimization tasks remains underexplored. …”
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    A Hierarchical Optimization Model for a Network of Electric Vehicle Charging Stations by Cuiyu Kong (19686979)

    Published 2017
    “…In the second layer, we use a queuing model and introduce a resource allocation framework to optimally provision the limited grid resources. …”
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    Machine Learning Models for Scheduling On-Demand Fog Placement and Optimizing Container Deployment by Farhat, Peter

    Published 2020
    “…Second, we propose a K-Means based clustering model embedded within a multi-objective optimization scheme for fog and container placement. …”
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    Low Complexity Byzantine-Resilient Federated Learning by A. Gouissem (17541396)

    Published 2024
    “…A low complexity norm-control based aggregation approach is also proposed and shown to converge to the optimal and sub-optimal solutions in the absence or presence of Byzantine nodes, respectively. …”
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    Hybrid African vultures–grey wolf optimizer approach for electrical parameters extraction of solar panel models by Mahmoud A. Soliman (17346778)

    Published 2022
    “…Due to its nonlinearity and multivariable characteristics, the TDM is a complex and debatable PV model. This article proposes a novel hybrid African vultures–grey wolf optimizer (AV–GWO) approach to precisely estimate the electrical parameters of such TDM. …”
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    Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure by Kouatli, Issam

    Published 2014
    “…Multivariable structure of any fuzzy rule based system would add complexity when modeling the behavior of the system. …”
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