Tag: multi-objective optimization

A critical review finds that dynamic stall, vortex shedding and blade-wake interaction simultaneously govern the power, cyclic loading and noise ...

A constraint-driven multi-objective optimization framework produced a nanocrystalline high-frequency transformer whose design was verified by finite-element analysis and a 150 ...

A new study combines CTGAN-generated synthetic data, hybrid machine learning, SHAP explainability, reliability analysis and multi-objective optimization to design fly ...

A simulation study of HCCI engines reports that optimized blends of methanol, ethanol and acetone could raise biogas engine power ...

On a primary synthetic benchmark, landscape-aware ant colony optimization reduced modeled conflict by 31.1% for a 13.9% increase in route ...

A response-surface-guided neural network predicted a balanced silica-fume and nano-silica formulation for coral aggregate concrete, reducing prediction error without additional ...

A computational comparison found that two moderately thick aluminum L-shaped fins gave the best tested charging–discharging balance for a rectangular ...

A DSSAT-based optimization study in Iran identified cropping patterns that reduced water use and nitrogen leaching while retaining much of ...

A neural-network surrogate paired with differential evolution reduced model-predicted EV battery thermal risk by 94.8% across charging rates from 0.5C ...

A multi-objective reinforcement-learning system reduced cobot trajectory error, collisions, cycle time, and energy use in a controlled simulation benchmark, while ...