Given the accelerated advancement of drones in an array of application domains, the
imperative of effective path planning has emerged as a quintessential research focus …

Most of the real-world search and optimization problems have multiple objectives. In the past
few years, Multi-objective Evolutionary Algorithms (MOEAs) are widely used. A multi …

In order to improve power generation efficiency and reduce land cost, many large-scale
photovoltaic (PV) farms are built on the mountain. The rugged terrain of the mountains leads …

Summary The Internet of Things (IoT) has gained widespread adoption, prompting the
addition of new connected devices to the network, such as Unmanned Aerial Vehicles …

This paper presents an efficient 3D online path planning algorithm for UAV flying in partially
known environment. The algorithm integrates model predictive control (MPC) and differential …

Unmanned aerial vehicles (UAVs) are desirable platforms for time-efficient and cost-effective
task execution. 3-D path planning is a key challenge for task decision-making. This paper …

The amount of internet traffic generated during mass public events is significantly growing in
a way that requires methods to increase the overall performance of the wireless network …

Path planning for the unmanned aerial vehicle (UAV) is to assist in finding the proper path,
serving as a critical role in the intelligence of a UAV. In this paper, a path planning for UAV in …

Abstract Machine learning in small-scale unmanned aerial vehicle (UAV) deployment fails to
accomplish complex missions of swarm intelligence. Federated learning (FL) tackles it by …

In a complex environment with multiple feasible paths, planning a globally optimal path and
performing dynamic path planning for robots is challenging. Therefore, this paper proposed …