Fitness-Guided Particle Swarm Optimization with Adaptive Newton-Raphson for Photovoltaic Model Parameter Estimation

Applied Soft Computing, Год журнала: 2024, Номер unknown, С. 112295 - 112295

Опубликована: Окт. 1, 2024

Язык: Английский

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Parameter estimation of PEM fuel cells using metaheuristic algorithms

Measurement, Год журнала: 2024, Номер 237, С. 115302 - 115302

Опубликована: Июль 14, 2024

Язык: Английский

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A Multi-Strategy Improvement Secretary Bird Optimization Algorithm for Engineering Optimization Problems

Biomimetics, Год журнала: 2024, Номер 9(8), С. 478 - 478

Опубликована: Авг. 8, 2024

Based on a meta-heuristic secretary bird optimization algorithm (SBOA), this paper develops multi-strategy improvement (MISBOA) to further enhance the solving accuracy and convergence speed for engineering problems. Firstly, feedback regulation mechanism based incremental PID control is used update whole population according output value. Then, in hunting stage, golden sinusoidal guidance strategy employed success rate of capture. Meanwhile, keep diverse, cooperative camouflage an cosine similarity are introduced into escaping stage. Analyzing results CEC2022 test suite, MISBOA both get best comprehensive performance when dimensions set as 10 20. Especially dimension increased, advantage expanded, which ranks first functions, accounting 83.33% total. It illustrates introduction strategies that effectively searching stability various For five real-world problems, also has fitness values, indicating stronger ability with higher stability. Finally, it solve shape problem combined quartic generalized Ball interpolation (CQGBI) curve, can be designed smoother obtained parameters improve power generation efficiency.

Язык: Английский

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Prediction and interpretive of motor vehicle traffic crashes severity based on random forest optimized by meta-heuristic algorithm

Heliyon, Год журнала: 2024, Номер 10(16), С. e35595 - e35595

Опубликована: Авг. 1, 2024

Providing accurate prediction of the severity traffic collisions is vital to improve efficiency emergencies and reduce casualties, accordingly improving safety reducing congestion. However, issue both predictive accuracy model interpretability predicted outcomes has remained a persistent challenge. We propose Random Forest optimized by Meta-heuristic algorithm framework that integrates spatiotemporal characteristics crashes. Through analysis motor vehicle crash data on interstate highways within United States in 2020, we compared various ensemble models single-classification models. The results show (RF) Crown Porcupine Optimizer (CPO) best results, accuracy, recall, f1 score, precision can reach more than 90 %. found factors such as Temperature Weather are closely related Closely indicators were analyzed interpretatively using geographic information system (GIS) based characteristic importance ranking results. enables crashes discovers important leading with an explanation. study proposes some areas consideration should be given adding measures nighttime lighting devices fatigue driving alert ensure safe driving. It offers references for policymakers address management urban development issues.

Язык: Английский

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Parameter Estimation of Proton Exchange Membrane Fuel Cells Using Chaotic Newton-Raphson-Based Optimizer

Results in Engineering, Год журнала: 2024, Номер 24, С. 103369 - 103369

Опубликована: Ноя. 8, 2024

Язык: Английский

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