Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.

Abstract: This paper introduces a novel hybrid Particle Swarm Optimization (PSO) algorithm called the Gradient Enhanced PSO (GE-PSO) that selectively incorporates a Gradient Descent (GD) technique to ...

1 Department of Electrical and Electronic Engineering, Faculty of Engineering, Sunyani Technical University, Sunyani, Ghana. 2 Department of Electrical and Electronic Engineering, Akenten Appiah-Menka ...

Abstract: The Internet of Things (IoT) system and path planning algorithm provide a technological foundation for autonomous navigation of uncrewed aerial vehicles (UAVs). Geospatial data from the IoT ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Background: Coronary Artery Disease (CAD) is one of the biggest causes of mortality worldwide. Risk stratification for early detection is essential for the primary prevention of CAD. QRISK3 is known ...

SwarmboTron is a low budget swarm implementation of real and simulated robots. The swarm is able to work together to achieve a certain goal.