BIOENGINEER

Ant Colony Optimization Cuts Grid Converter Losses and Halves Iterations

A modified ant colony optimization framework reduced average active network losses and cut convergence iterations by half in ...
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 ...
Tech Xplore

Optimized fuzzy logic controller cuts average robotic arm tracking error by 89% in simulations

A genetically optimized fuzzy logic controller for robotic arms is described in the International Journal of Automation and ...
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 ...