Hyper-heuristics have emerged as a way to raise the level of generality of search techniques
for computational search problems. This is in contrast to many approaches, which represent …

Biological brains have a natural capacity for resolving certain classification tasks. Studies on
biologically plausible spiking neurons, architectures and mechanisms of artificial neural …

With recent advancements in data collection tools and the widespread use of intelligent
information systems, a huge amount of data streams with lots of redundant, irrelevant, and …

In the last three decades, the field of computational intelligence has seen a profusion of
population‐based metaheuristics applied to a variety of problems, where they achieved …

Literature is prolific with metaheuristics for solving continuous optimisation problems. But, in
practice, it is difficult to choose one appropriately for several reasons. First and …

Abstract Peer-to-peer (P2P) energy trading provides potential economic benefits to
prosumers. The prosumers are responsible for managing their own resources/reserves …

Exploration, the process of visiting a new region in a search space, and exploitation, the
process of searching in the neighborhood of previously visited regions, are two centerpieces …

This study proposes an effective intelligent predictive model for prediction of cervical
hyperextension injury. The prediction model is constructed by combing an improved sine …

In classification tasks, feature selection (FS) can reduce the data dimensionality and may
also improve classification accuracy, both of which are commonly treated as the two …

Echo state networks (ESNs), belonging to the family of recurrent neural networks (RNNs),
are suitable for addressing complex nonlinear tasks due to their rich dynamic characteristics …