Renewable Energy, Journal Year: 2024, Volume and Issue: 237, P. 121769 - 121769
Published: Oct. 30, 2024
Language: Английский
Biomimetics, Journal Year: 2025, Volume and Issue: 10(4), P. 226 - 226
Published: April 4, 2025
An improved black-winged kite algorithm with multiple strategies (BKAIM) is proposed in this paper to address two critical limitations the original optimization (BKA): restricted search capability caused by low-quality initial population and reduced diversity resulting from blind following behavior during migration phase. Our enhancement implements three strategic modifications across different stages. During initialization, an opposition-based learning strategy was incorporated generate a higher-quality population. For phase, differential mutation integrated facilitate information exchange among members, mitigate tendency of leader-following behavior, enhance convergence precision, achieve optimal balance between exploration exploitation capabilities. Regarding boundary handling, conventional absorption method replaced random approach increase subsequently improve algorithm’s Comprehensive testing conducted on four benchmark function sets (CEC2017, CEC2019, CEC2021, CEC2022) validate effectiveness algorithm. Detailed analysis Wilcoxon rank-sum test comparisons other algorithms demonstrated BKAIM’s superior performance robustness. Furthermore, support vector machine (SVM) model optimized BKAIM for grade identification Dendrobium huoshanense based near-infrared spectral data, thereby confirming its practical applications.
Language: Английский
Citations
0
Radio Science, Journal Year: 2025, Volume and Issue: 60(4)
Published: April 1, 2025
Abstract Dual‐band bandpass filters have attracted intense attention in recent developments to meet many demands, especially wireless applications and multi‐band radio wave. Here, a Combline filter the form of dual 3‐row microstrip with center resonance frequency 2.5 3.0 GHz total 13 design parameters, 6 which are variable, has become single‐objective multi‐dimensional optimization problem help current competitive metaheuristic algorithms. Algorithms been derived years, proven their success against existing algorithms, not used problem. In addition, different study conducted among five objective function pairs that were fabricated from mathematical models successful, three most successful selected based on relevant results these adapted for included study. Throughout this process, toolbox R2023B version, available as MATLAB R2022B was used. addition original function, includes multiple innovations such new During entire optimal verified by electromagnetic simulation. Considering all study, processes performed proposed algorithms an easy, fast efficient solution complex applications. Additionally, it can be quickly applied other microwave problems changing functions.
Language: Английский
Citations
0
BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)
Published: April 23, 2025
Dengue fever is a globally prevalent arbovirus disease that poses serious challenge to global health. Therefore, analyzing the relationship between dengue incidence and meteorological factors developing more effective prediction model based on this can provide theoretical basis for public health departments formulate reasonable prevention strategies. We collected cases data, including temperature, humidity, sunshine duration, etc., from Guangdong Zhejiang Provinces in China 2005-2024. A distributed lag nonlinear (DLNM) was used analyze exposure-response incidence. Moreover, raw case data were classified into warning levels using fuzzy clustering algorithm. The improved horned lizard optimization algorithm (IHLOA) then combined with support vector machine (SVM), random forest (RF) k-nearest neighbor (KNN) prediction. average accuracy ( Avgacc ), fitness value Avgfit feature reduction rate Avgfeature standard deviation (STD) F1_scoremicro evaluate performance. risk of positively correlated relative duration vegetation index but negatively visibility, wind speed sea level pressure. Meteorological had effect fever, magnitude varies dynamically time. Compared other models, our proposed hybrid models exhibited relatively low values high values, indicating best results. Our experiment revealed correlation have important predicting fever. In addition, constructed article accurately predict outbreaks which lay foundation construction monitoring early systems improve ability relevant government detect identify timely manner.
Language: Английский
Citations
0
Engineering Reports, Journal Year: 2025, Volume and Issue: 7(5)
Published: April 30, 2025
ABSTRACT The proposed Random Walk‐based Improved GOOSE (IGOOSE) search algorithm is a novel population‐based meta‐heuristic inspired by the collective movement patterns of geese and stochastic nature random walks. This includes inherent balance between exploration exploitation integrating walk behavior with local strategies. In this paper, IGOOSE has been rigorously tested across 23 benchmark functions where 13 benchmarks are varying dimensions (10, 30, 50, 100 dimensions). These provide diverse range optimization landscapes, enabling comprehensive evaluation performance under different problem complexities. various parameters such as convergence speed, magnitude solution, robustness for dimensions. Further, applied to optimize eight distinct engineering problems, showcasing its versatility effectiveness in real‐world scenarios. results these evaluations highlight competitive tool, offering promising both standard complex structural problems. Its ability effectively, combined deal positions valuable tool.
Language: Английский
Citations
0
Optimal Control Applications and Methods, Journal Year: 2025, Volume and Issue: unknown
Published: April 30, 2025
ABSTRACT This study introduces the Chaotic Crayfish Optimization Algorithm (CCOA), an advanced variant of (COA) that integrates chaotic maps to enhance its performance in solving complex global optimization and engineering problems. The COA, inspired by foraging behaviour crayfish, has demonstrated effectiveness but is challenged issues such as imbalance between exploration exploitation, a tendency get trapped local optima, slower convergence rates high‐dimensional landscapes. By incorporating dynamics, CCOA addresses these limitations, improving algorithm's ability navigate diverse regions solution space refine promising solutions. employs ten distinct dynamically adapt search strategies dynamically, optimizing exploration‐exploitation balance. algorithm rigorously evaluated against established benchmark test functions from recognized competitions, including CEC 2014, 2017, 2020, 2022, assess finding optimal A comprehensive comparative analysis conducted various well‐known algorithms, Particle Swarm Optimization, Differential Evolution, traditional among others. Statistical significance through average ranking Wilcoxon Rank Sum Test evaluations. Additionally, applied six real‐world design problems, Welded Beam Design Problem Cantilever Problem, demonstrating practical applicability effectiveness. results indicate significantly enhances speed quality while effectively escaping establishing it robust tool for addressing wide range challenges. work contributes expanding field metaheuristic optimization, showcasing potential improve algorithmic problem domains.
Language: Английский
Citations
0
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: April 30, 2025
Integrating wind energy into power systems can negatively impact stability by reducing oscillation damping. Wind Turbine Voltage Regulators (WT VRs) are designed to manage reactive and maintain voltage stability; however, they often do not coordinate effectively with Power System Stabilizers (PSS) from synchronous generators (SG). This study utilizes the GOOSE Optimization Algorithm (GOA) optimize gains of WT proportional-integral virtual regulator PI-VR) SG proportional-integral-type lead-lag PSS (PI-type LL-PSS), enhance system performance. The GOA performance compared Osprey (OOA) Particle Swarm Optimizer (PSO). PI-type LL-PSS is proportional-integral-derivative PID-PSS configurations, highlighting its robustness. Testing scenarios include step changes, sags, three-phase short-circuit faults, using metrics like integral time absolute error, settling time, standard deviation for robustness evaluation. Statistical analysis shows several benefits proposed methodology: (i) A 48.85% improvement in coordinating PI-VR versus OOA, (ii) 24.40% boost over OOA LL-PSS, (iii) 14.4% enhancement when PID-PSS, (iv) 34.23% increase instead PSO LL-PSS.
Language: Английский
Citations
0
Geosciences, Journal Year: 2025, Volume and Issue: 15(1), P. 8 - 8
Published: Jan. 3, 2025
Noise profoundly affects the quality of electromagnetic data, and selecting appropriate hyperparameters for machine learning models poses a significant challenge. Consequently, current denoising techniques fall short in delivering precise processing Wide Field Electromagnetic Method (WFEM) data. To eliminate noise, this paper presents an data approach based on improved dung beetle optimized (IDBO) gated recurrent unit (GRU) its application. Firstly, Spatial Pyramid Matching (SPM) chaotic mapping, variable spiral strategy, Levy flight mechanism, adaptive T-distribution variation perturbation strategy were utilized to enhance DBO algorithm. Subsequently, mean square error is employed as fitness IDBO algorithm achieve hyperparameter optimization GRU Finally, IDBO-GRU method applied WFEM Experiments demonstrate that capacity conspicuously superior other intelligent algorithms, surpasses probabilistic neural network (PNN) accuracy Moreover, time domain processed more line with periodic signal characteristics, overall significantly enhanced, electric field curve stable. Therefore, adept at sequence, application results also validate proposed can offer technical support inversion interpretation.
Language: Английский
Citations
0
Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105901 - 105901
Published: Feb. 1, 2025
Language: Английский
Citations
0
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Feb. 25, 2025
This paper addresses issues of inadequate accuracy and inconsistency between global search efficacy local development capability in the black-winged kite algorithm for practical problem-solving by proposing a optimization that integrates Osprey Crossbar enhancement (DKCBKA). Firstly, adaptive index factor fusion Optimization Algorithm approach are incorporated to enhance algorithm's convergence rate, probability distribution is updated throughout attack stage. Second, stochastic difference variant method implemented prevent from entering optima. Lastly, longitudinal transversal crossover technique dynamically alter population's individual optimal solutions. Fifteen benchmark functions chosen test effectiveness enhanced compare efficiency each technique. Simulation experiments performed on CEC2017 CEC2019 sets, revealing DKCBKA surpasses five standard swarm intelligence methods six improved algorithms regarding solution speed. The superiority meeting real challenges further demonstrated three engineering problems DKCBKA, with capabilities 18.222%, 99.885% 0.561% higher than BKA, respectively.
Language: Английский
Citations
0
Biomimetics, Journal Year: 2025, Volume and Issue: 10(3), P. 153 - 153
Published: March 2, 2025
Intelligent optimization algorithms are crucial for solving complex engineering problems. The Parrot Optimization (PO) algorithm shows potential but has issues like local-optimum trapping and slow convergence. This study presents the Chaotic–Gaussian–Barycenter (CGBPO), a modified PO algorithm. CGBPO addresses these problems in three ways: using chaotic logistic mapping random initialization to boost population diversity, applying Gaussian mutation updated individual positions avoid premature convergence, integrating barycenter opposition-based learning strategy during iterations expand search space. Evaluated on CEC2017 CEC2022 benchmark suites against seven other algorithms, outperforms them convergence speed, solution accuracy, stability. When applied two practical problems, demonstrates superior adaptability robustness. In an indoor visible light positioning simulation, CGBPO’s estimated closer actual ones compared PO, with best coverage smallest average error.
Language: Английский
Citations
0