BIOENGINEER

Machine learning model predicts tensile strength of fiber-reinforced polymer composites

A machine-learning framework combining neural-network prediction, SHAP explainability and genetic-algorithm optimization ...
BIOENGINEER

Genetic Algorithm Enhances Downhole Turbine Airfoil Performance for Deep Well Power

Researchers developed an efficient hydraulic-airfoil optimization framework that improved the lift-to-drag ratio of a ...
The Sentinel

Solving optimization problems with machine learning

Researchers test machine learning and genetic algorithms to improve solutions to the quadratic multidimensional knapsack ...
pv magazine International

PV energy forecasting based on genetic algorithms, dynamic neural network

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...