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Showing 1 - 15 results of 15 for search '(( less based model optimization algorithm ) OR ( binary based solution optimization algorithm ))', query time: 0.12s Refine Results
  1. 1
    Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link

    Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link by Bayan Hussein (16904856)

    Published 2023
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  2. 2
    An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications

    An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications by Abu Zitar, Raed

    Published 2021
    “…The JAYA algorithm combines the survival of the fittest principle from evolutionary algorithms as well as the global optimal solution attractions of Swarm Intelligence methods. …”
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  3. 3
    Multiclass feature selection with metaheuristic optimization algorithms: a review

    Multiclass feature selection with metaheuristic optimization algorithms: a review by Abu Zitar, Raed

    Published 2022
    “…Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …”
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  4. 4
    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method

    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

    Published 2022
    “…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …”
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  5. 5
    Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine

    Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine by Debendra Muduli (20748758)

    Published 2024
    “…For mass fundus image-based glaucoma classification, an improved automated computer-aided diagnosis (CAD) model performing binary classification (glaucoma or healthy), allowing ophthalmologists to detect glaucoma disease correctly in less computational time. …”
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  6. 6
    Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery

    Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery by Al Rayes, Zaid

    Published 2018
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  7. 7
    Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting

    Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting by AlSayegh, Hadeel Yacoub

    Published 2011
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  8. 8
    A new genetic algorithm approach for unit commitment

    A new genetic algorithm approach for unit commitment by Mantawy, A.H.

    Published 1997
    “…In the proposed algorithm, coding the solution of the unit commitment problem is based on mixing binary and decimal representations. …”
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  9. 9
    Transformations for Variants of the Travelling Salesman Problem and Applications

    Transformations for Variants of the Travelling Salesman Problem and Applications by Assaf, Mustafa Jamil

    Published 2017
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  10. 10
    Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodology

    Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodolog... by Mutasim Baba, Fuad

    Published 2023
    “…The calibrated simulation model based on indoor and outdoor measured temperature for a school of interest is used to evaluate the optimization strategies. …”
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  11. 11
    Correlation Clustering via s-Club Cluster Edge Deletion

    Correlation Clustering via s-Club Cluster Edge Deletion by Makarem, Norma

    Published 2023
    “…In certain situations, the requirement for clusters to be cliques was deemed excessively stringent, leading to the proposal of alternative relaxed clique models for dense subgraphs, such as s-club. In this work, we implement three approaches to tackle the 2-club clustering via edge deletion: a heuristic approach based on the influence of the edge to resolve maximum conflicts, a parameterized algorithm in which by deleting a maximum of k edges, the graph can be transformed into a 2-club cluster based on a branching algorithm, and the approach in Integer Linear Programming to find the optimized solution in an integer formulation. …”
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  12. 12
    A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions

    A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions by Chakarajamula Hussaian Basha (21633167)

    Published 2024
    “…The studied hybrid optimization MPPT methods are equated in terms of oscillations across MPP, output power extraction, settling time of the MPP, dependency on the PV modeling, operating duty value of the converter, error finding accuracy of MPPT, algorithm complexity, tracking speed, periodic tuning required, and the number of sensing parameters utilized. …”
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  13. 13
    Multi-UAV-Enabled Mobile Edge Computing IoT Systems: Joint Association and Resource Allocation Framework

    Multi-UAV-Enabled Mobile Edge Computing IoT Systems: Joint Association and Resource Allocation Framework by Abu Farha, Yazan Mahmoud

    Published 2024
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  14. 14
    A method for data path synthesis using neural networks

    A method for data path synthesis using neural networks by Harmanani, H.

    Published 2017
    “…A sequential simulator was implemented for the proposed algorithm on a Linux Pentium PC under X Windows. Several circuits hare been attempted, all yielding sub-optimal solutions.…”
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  15. 15
    LDSVM: Leukemia Cancer Classification Using Machine Learning

    LDSVM: Leukemia Cancer Classification Using Machine Learning by Abdul Karim (417009)

    Published 2022
    “…The main aim was to predict the initial leukemia disease. Machine learning algorithms such as decision tree (DT), naive bayes (NB), random forest (RF), gradient boosting machine (GBM), linear regression (LinR), support vector machine (SVM), and novel approach based on the combination of Logistic Regression (LR), DT and SVM named as ensemble LDSVM model. …”
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