In swarm robotics multiple robots collectively solve problems by forming advantageous
structures and behaviors similar to the ones observed in natural systems, such as swarms of …

The collective behaviors of animals, from schooling fish to packing wolves and flocking
birds, display plenty of fascinating phenomena that result from simple interaction rules …

Smart manufacturing is being shaped nowadays by two different paradigms: Industry 4.0
proclaims transition to digitalization and automation of processes while emerging Industry …

In recent years, swarm intelligence algorithms have received extensive attention and
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …

Digitalization and automation play essential roles in how companies create value for their
customers in emerging industries, including autonomous vehicle solutions (AVSs) and …

Future cyber-physical systems (CPS), such as smart cities, collaborative robots, autonomous
vehicles or intelligent transport systems, are expected to be highly intelligent, electrified, and …

The integration of embedded systems in autonomous vehicles represents a transformative
paradigm shift in the automotive industry, offering unprecedented opportunities for …

In today's world, it is vital to have strong cybersecurity measures in place. To combat the
ever-evolving threats, adopting advanced models like cybersecurity mesh is necessary to …

Nature is a neverending source of inspiration for technology. Quantum physics suggests
applications toward quantum computing. Swarms' self-organization leads to robotic swarm …

The research presented in this manuscript proposes a novel Harris Hawks optimization
algorithm with practical application for evolving convolutional neural network architecture to …