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[HTML][HTML] Spider wasp optimizer-optimized cascaded fractional-order controller for load frequency control in a photovoltaic-integrated two-area system
The integration of photovoltaic (PV) systems into traditional power grids introduces
significant challenges in maintaining system stability, particularly in multi-area power …
significant challenges in maintaining system stability, particularly in multi-area power …
Dynamic multi-swarm whale optimization algorithm based on elite tuning for high-dimensional feature selection classification problems
F Miao, Y Wu, G Yan, X Si - Applied Soft Computing, 2025 - Elsevier
Feature selection algorithms are crucial technologies for reducing the dimensionality of high-
dimensional data. However, the exponential expansion of the decision space due to high …
dimensional data. However, the exponential expansion of the decision space due to high …
Bi-objective feature selection in high-dimensional datasets using improved binary chimp optimization algorithm
NEA Al-qudah, BH Abed-alguni… - International Journal of …, 2024 - Springer
The machine learning process in high-dimensional datasets is far more complicated than in
low-dimensional datasets. In high-dimensional datasets, Feature Selection (FS) is …
low-dimensional datasets. In high-dimensional datasets, Feature Selection (FS) is …
Augmented electric eel foraging optimization algorithm for feature selection with high-dimensional biological and medical diagnosis
This paper explores the importance of the electric eel foraging optimization (EEFO)
algorithm in addressing feature selection (FS) problems, with the aim of ameliorating the …
algorithm in addressing feature selection (FS) problems, with the aim of ameliorating the …
Improved Salp Swarm Optimization Algorithm based on a Robust Search Strategy and a Novel Local Search Algorithm for Feature Selection Problems
M Khorashadizade, E Abbasi, SAS Fazeli - Chemometrics and Intelligent …, 2025 - Elsevier
The enormous challenge in data science and data mining for knowledge extraction is
confronting an expansive high number of data dimensions. Because the process of …
confronting an expansive high number of data dimensions. Because the process of …
Solving single-and multi-objective optimal power flow problems using the spider wasp optimization algorithm
Balancing exploration and exploitation is a common challenge in optimization algorithms,
often leading to suboptimal performance. To address this issue, researchers have …
often leading to suboptimal performance. To address this issue, researchers have …
Comparison of Current Metaheuristics for Solving Engineering Problems
E Tufan, S Arslan - 2024 Innovations in Intelligent Systems and …, 2024 - ieeexplore.ieee.org
Nowadays, with the increasing number of metaheuristic, different strategies for solving
engineering problems have been introduced. In this study, the Crayfish Optimizer Algorithm …
engineering problems have been introduced. In this study, the Crayfish Optimizer Algorithm …