Abstract Transformable Unmanned Aerial Systems (UASs) are increasingly attracting
attention in recent years due to their maneuverability, agility and morphological capacities …

Over the last decades, researchers have studied the Multi-Objective Optimization (MOO)
problem for Multi-Agent Systems (MASs). However, most of them consider the problem …

Sucrose extraction and energy consumption form the basis for evaluating the performance
and energy efficiency of milling. Herein a double-layer multi-objective optimisation method …

In recent decades, there has been a constant increase in the use of unmanned aerial
vehicles (UAVs). There has also been a huge growth in the number of control algorithms to …

In this work, we propose a swarm algorithm with tendencies of repulsion, attraction, and
influence for implementation in a pack of autonomous robots and with sensory limitations …

Collective motion, often called flocking, is a prevalent behaviour observed in nature wherein
large groups of organisms move cohesively, guided by simple local interactions, as …

The bio-inspired flocking model has been widely utilized in self-organized swarms.
However, existing potential field methods fail to guarantee safe and orderly swarm …

The unmanned aerial vehicle (UAV) flocking among obstacles was transferred to a velocity-
controllable UAV flocking problem, which means that multi-UAV gradually form and maintain …

At present, mobile charging stations (MCSs) are taken as an important complement of fixed
charging stations. Currently, the strategy of MCSs is to move towards the electric vehicles to …

Individual agents in natural systems like flocks of birds or schools of fish display a
remarkable ability to coordinate and communicate in local groups and execute a variety of …