An optimized design with real-time and multiple realistic constraints in complex engineering
systems is a crucial challenge for designers. In the non-uniform Internet of Things (IoT) node …

Swarm intelligence and evolutionary algorithms (SI&EAs) have been widely applied to
various fields. In this paper, we make the first attempt, to our best knowledge, to apply an …

Many feasible and promising swarm intelligence algorithms have been proposed to solve
the optimization problems, especially the global numerical optimization problems. It is easier …

Integrating multiple omics data can significantly improve the accuracy of cancer
subclassification, a challenging task due to the high dimensionality and limited sample …

Particle swarm optimization algorithm has been successfully applied to solve practical
optimization problems due to its simplicity and efficiency. However, the traditional particle …

The important thing about mobile robotics is that its use satisfies rapid movement without
collisions. Several methods have been designed for this purpose, but not all of them give the …

Solar energy is key to achieving a more environmentally responsible future. One way to
exploit it is to use semiconductor technology through solar panels to generate clean …

Accurate location or positioning of people and self-driven devices in large indoor
environments has become an important necessity The application of increasingly automated …

In large indoor environments, accurate positioning and tracking of people and autonomous
equipment have become essential requirements. The application of increasingly automated …

Quantum information processing (QIP) offers a substantial speed advantage over classical
processing, which is particularly promising in the fields of quantum artificial intelligence and …