With the rapid development of next‐generation wireless communication technologies and
the increasing demand of spectrum resources, it becomes necessary to introduce learning …

With an exaggerating upsurge in mobile data traffic, the wireless networks are confronted
with a subtle task of enhancing their network capacity. The shortage of spectrum resources …

Recent decades have witnessed great advancements in multiobjective evolutionary
algorithms (MOEAs) for multiobjective optimization problems (MOPs). However, these …

Methanation is the core process of synthetic natural gas, the performance of the entire
reaction system depends on precise values of the reaction condition parameters. Accurate …

Future 6G wireless communication systems are expected to feature intelligence and
automation. Knowledge-defined networking (KDN) is an evolutionary step toward …

Multiobjective evolutionary algorithms (MOEAs) have gained much attention due to their
high effectiveness and efficiency in solving multiobjective optimization problems (MOPs) …

In an era where Intelligent Decision Support Systems (IDSS) are integral to managing the
vast data from Internet of Everything (IoE) systems, this study introduces IDSDeep-CCD, a …

We propose a new approach called PESA (Prioritized replay Evolutionary and Swarm
Algorithms) combining prioritized replay of reinforcement learning with hybrid evolutionary …

Evolutionary algorithms (EA), a class of stochastic search methods based on the principles
of natural evolution, have received widespread acclaim for their exceptional performance in …

With the deep integration of modern technology and agricultural production, the
development of unmanned precision agriculture has become a breakthrough for agricultural …