This chapter explores particle swarm optimization (PSO) in the rapidly evolving landscape of
biomedical technologies. The study begins by introducing the fundamental principles of …

Neuromorphic computing draws inspiration from the brain to provide computing technology
and architecture with the potential to drive the next wave of computer engineering …

The UAV pursuit-evasion problem focuses on the efficient tracking and capture of evading
targets using unmanned aerial vehicles (UAVs), which is pivotal in public safety …

Renewable energy sources are highly unreliable and create unreliable energy surplus and
energy demands. These energy surpluses and demands can be traded frequently within …

Gait is inherent to human life and hence its importance is often overlooked. But walking
remains the most basic form of transportation and almost all journeys begin and end with a …

This chapter is dedicated to explore among different post-GOFS systemic properties of
different nature like ones considered above and based on the concepts of quasi already …

The verification and validation (V&V) of agent-based models (ABMs) is challenging. The
underlying structure of the model and the agents can change over time. Furthermore, the …

The aerial flocking of birds, or murmurations, has fascinated observers while presenting
many challenges to behavioral study and simulation. We examine how the periphery of …

Understanding the mechanisms behind emergent behaviors in multi-agent systems is critical
for advancing fields such as swarm robotics and artificial intelligence. In this study, we …

Measurements of coordinated motion in flocks are necessary to evaluate their performance.
In this work, a set of quantitative metrics to evaluate the performance of the spatial features …