Tag: metaheuristic optimization

A six-parameter steady-state fuel-cell model fitted with Enhanced Artificial Rabbits Optimization produced very low voltage errors on both a 5-watt ...

An Aquila-optimized XGBoost model achieved an R² of 0.980 for predicting soaked CBR in 90 geosynthetic-reinforced subgrade tests, outperforming three ...

A 246-point magnetic survey at Indonesia’s Benowo landfill identified anomaly zones that may mark preferential subsurface leachate pathways, while source ...

A new stochastic fractal search-based framework pairs nature-inspired optimization with a lightweight k-nearest neighbor classifier to classify mammographic lesions with ...

A new deep learning framework that passively reads smartphone sensor data from college students can detect depression and stress, but ...

A two-layer swarm intelligence framework from Xidian University and CETC researchers coordinates heterogeneous unmanned swarms by coupling task allocation with ...

A new systematic review of 40 studies maps 25 years of One-Parameter-at-a-Time combinatorial testing research, revealing critical trade-offs between test ...

Researchers have combined Nyquist-plot geometry with a two-stage marine predator optimizer to identify fractional-order battery model parameters with over 90 ...

A hybrid Transformer-BiLSTM deep learning framework with a dual nature-inspired feature selection method reports up to 99 percent accuracy in ...

A hybrid deep learning framework combining fuzzy preprocessing, bio-inspired feature selection and a novel Hopfield attention network predicts organic perovskite ...