Computer images consist of huge data and thus require more memory space. The
compressed image requires less memory space and less transmission time. Imaging and …

Swarm intelligence-based optimisation algorithms, inspired by the collective intelligent
behaviours of biology groups, have been widely recognised as efficient optimisers for many …

Software reliability is estimated and predicted based on software reliability model and
software failure data. As a new optimization method, swarm intelligence algorithm has been …

Aiming at the key optimization problems of wireless sensor networks in complex industrial
application environments, such as the optimum coverage and the reliability of the network, a …

Optimization problems especially in a dynamic environment is a hot research area that has
attracted notable attention in the past decades. It is clear from the dynamic optimization …

Fractals are geometric shapes that can display complex and self-similar patterns found in
nature (eg, clouds and plants). Recent works in visual recognition have leveraged this …

Fractal image compression (FIC) is an auspicious technique for encoding images. It is based
on fractals that can be found in an image and the generation of duplicating blocks based on …

The effectiveness of the Wolf Pack Algorithm (WPA) in high-dimensional discrete
optimization problems has been verified in previous studies; however, it usually takes too …

Images are now employed as data in a variety of applications, including medical imaging,
remote sensing, pattern recognition, and video processing. Image compression is the …

The bionics-based swarm intelligence optimization algorithm is a typical natural heuristic
algorithm whose goal is to find the global optimal solution of the optimization problem. It …