Boosted Spider Wasp Optimizer for High-dimensional Feature Selection

Mohamed, Elfadil A.; Braik, Malik Sh.; Al-Betar, Mohammed Azmi; Awadallah, Mohammed A.

doi:10.1007/s42235-024-00558-8

J Bionic Eng

2024

DOI: 10.1007/s42235-024-00558-8

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Boosted Spider Wasp Optimizer for High-dimensional Feature Selection

Elfadil A. Mohamed,

Malik Sh. Braik,

Mohammed Azmi Al-Betar

et al.

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2024

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Cited by 3 publications

References 44 publications

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Augmented electric eel foraging optimization algorithm for feature selection with high-dimensional biological and medical diagnosis

Al-Betar,

Braik,

Mohamed

et al. 2024

Neural Comput & Applic

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Augmented electric eel foraging optimization algorithm for feature selection with high-dimensional biological and medical diagnosis

Al-Betar,

Braik,

Mohamed

et al. 2024

Neural Comput & Applic

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Bi-objective feature selection in high-dimensional datasets using improved binary chimp optimization algorithm

Al-qudah,

Abed-alguni,

Barhoush

2024

Int. J. Mach. Learn. & Cyber.

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Spider Wasp Optimizer-Optimized Cascaded Fractional-Order Controller for Load Frequency Control in a Photovoltaic-Integrated Two-Area System

Ekinci,

Izci,

Turkeri

et al. 2024

Mathematics

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The integration of photovoltaic (PV) systems into traditional power grids introduces significant challenges in maintaining system stability, particularly in multi-area power systems. This study proposes a novel approach to load frequency control (LFC) in a two-area power system, where one area is powered by a PV grid and the other by a thermal generator. To enhance system performance, a cascaded control strategy combining a fractional-order proportional–integral (FOPI) controller and a proportional–derivative with filter (PDN) controller, FOPI(1+PDN), is introduced. The controller parameters are optimized using the spider wasp optimizer (SWO). Extensive simulations are conducted to validate the effectiveness of the SWO-tuned FOPI(1+PDN) controller. The proposed method demonstrates superior performance in reducing frequency deviations and tie-line power fluctuations under various disturbances. The results are compared against other advanced optimization algorithms, each applied to the FOPI(1+PDN) controller. Additionally, this study benchmarks the SWO-tuned controller against recently reported control strategies that were optimized using different algorithms. The SWO-tuned FOPI(1+PDN) controller demonstrates superior performance in terms of faster response, reduced overshoot and undershoot, and better error minimization.

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Boosted Spider Wasp Optimizer for High-dimensional Feature Selection

Cited by 3 publications

References 44 publications

Augmented electric eel foraging optimization algorithm for feature selection with high-dimensional biological and medical diagnosis

Augmented electric eel foraging optimization algorithm for feature selection with high-dimensional biological and medical diagnosis

Bi-objective feature selection in high-dimensional datasets using improved binary chimp optimization algorithm

Spider Wasp Optimizer-Optimized Cascaded Fractional-Order Controller for Load Frequency Control in a Photovoltaic-Integrated Two-Area System

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