Mobile robot path planning refers to the design of the safely collision-free path with shortest
distance and least time-consuming from the starting point to the end point by a mobile robot …

Recent years have seen a dramatic rise in the popularity of autonomous mobile robots
(AMRs) due to their practicality and potential uses in the modern world. Path planning is …

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

This paper presents a new algorithm named spherical vector-based particle swarm
optimization (SPSO) to deal with the problem of path planning for unmanned aerial vehicles …

The honey badger algorithm (HBA) is a meta-heuristic optimization algorithm that simulates
the foraging behavior of honey badgers. Since the algorithm is prone to premature …

Unmanned aerial vehicles (UAVs) applications have increased in popularity in recent years
because of their ability to incorporate a wide variety of sensors while retaining cheap …

Unmanned aerial vehicles are applied extensively in various fields due to their advantages
of low-cost, high-maneuverability, and easy-operation. However, the path planning problem …

Identifying a small subset of informative genes from a gene expression dataset is an
important process for sample classification in the fields of bioinformatics and machine …

Unmanned aerial vehicle (UAV) inspection is an indispensable part of power inspection. In
the process of power inspection, the UAV needs to obtain an efficient and feasible path in …

Aiming at the three-dimensional path planning of unmanned aerial vehicle (UAV) in the
complex environment of material delivery in earthquake-stricken areas, this paper proposes …