Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms
in the literature. Although the original PSO has shown good optimization performance, it still …

Slime Mould Algorithm (SMA) has recently received much attention from researchers
because of its simple structure, excellent optimisation capabilities, and acceptable …

In this paper, a novel population-based technique called dung beetle optimizer (DBO)
algorithm is presented, which is inspired by the ball-rolling, dancing, foraging, stealing, and …

Attention has arguably become one of the most important concepts in the deep learning
field. It is inspired by the biological systems of humans that tend to focus on the distinctive …

Practical optimization problems often involve a large number of variables, and solving them
in a reasonable amount of time becomes a challenge. Competitive swarm optimizer (CSO) is …

With the rapid development and popularity of the Internet, multimedia security has become a
general essential concern. Especially, as manipulation of digital images gets much easier …

Particle swarm optimization (PSO) algorithm has a potential to solve route planning problem
for unmanned aerial vehicle (UAV). However, the traditional PSO algorithm is easy to fall …

In this paper, a new strategy is developed to plan the smooth path for mobile robots through
an improved PSO algorithm in combination with the continuous high-degree Bezier curve …

Electroencephalogram (EEG) signal analysis, which is widely used for human-computer
interaction and neurological disease diagnosis, requires a large amount of labeled data for …

As an advanced artificial intelligence technique for solving learning problems, deep learning
(DL) has achieved great success in many real-world applications and attracted increasing …