On television, sci-fi series tread the line between hard and soft sci-fi, but the shows that steer toward the former often ...
With the rapid advancements in technology, what will football look like in 2036? A decade ago, it would have been unfathomable to predict just how much technology plays a part in the game now, with ...
Abstract: Learning differential evolution (DE) algorithms are widely adopted to address flexible job-shop scheduling problems (FJSPs) because of the optimization ability. However, traditional learning ...
Abstract: Accurate identification and positioning of multiple vehicles is a critical challenge in autonomous driving, particularly over long distances. While sparse Bayesian learning (SBL) methods ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...
Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) have been widely developed to solve complex and computationally expensive multiobjective optimization problems (EMOPs) in recent years.