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 …

Providing mobile robots with autonomous capabilities is advantageous. It allows one to
dispense with the intervention of human operators, which may prove beneficial in economic …

Grey wolf optimizer (GWO) is one of recent metaheuristics swarm intelligence methods. It
has been widely tailored for a wide variety of optimization problems due to its impressive …

In this paper, a review on the three most important communication techniques (ground,
aerial, and underwater vehicles) has been presented that throws light on trajectory planning …

Mobile robotics research is an emerging area since last three decades. The present
research on mobile robotics addresses the problems which are mainly on path planning …

Nature-inspired metaheuristics comprise a compelling family of optimization techniques.
These algorithms are designed with the idea of emulating some kind natural phenomena …

Abstract Grey Wolf Optimizer (GWO) tends to converge prematurely when dealing with
multimodal problems. Using the benefits of hybridizing algorithm to boost the performance of …

This work offers an overview of the effective communication techniques for space
exploration of ground, aerial, and underwater vehicles. We not only comprehensively …

Today's electricity grid is rapidly evolving, with increased penetration of renewable energy
sources (RES). Conventional Optimal Power Flow (OPF) has non-linear constraints that …

In recent years, evolutionary algorithms have shown great advantages in the field of feature
selection because of their simplicity and potential global search capability. However, most of …