A new ensemble machine learning-based prediction mechanism reinitializes evolutionary algorithm populations after ...
A Gaussian process surrogate model trained on 346 fixed-bed adsorption experiments was coupled with genetic and swarm-based ...
Fully updated to reflect modern developments in the field, the Fifth Edition of An Introduction to Optimization fills the need for an accessible, yet rigorous, introduction to optimization theory and ...
Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...