The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been ...

Abstract: The state of charge (SOC) of lithium-ion batteries is a crucial parameter in battery management systems (BMSs). The particle swarm optimization (PSO) algorithm boasts advantages such as fast ...

Solve low-thrust interplanetary trajectory optimization problem using Particle Swarm Optimizer. Coded by Matlab. Deflecting Potentially Hazardous Asteroids to maximize the closest-approach distance ...

Introduction: The long charging cycle, limited energy storage system, and short range of traditional batteries have constrained the further development of electric vehicles. Methods: Given this, the ...

Abstract: This work focuses on adaptive sliding mode control for networked Markov jump systems using a dynamic event-triggered strategy. Unlike previous studies, this mechanism employs a particle ...

Purpose: This study develops a particle swarm optimization (PSO)-based assessment system for evaluating upper extremity and shoulder joint muscle strength with potential application to stroke ...

ABSTRACT: The study of the mechanical behavior of skin tissue is essential for various biomedical applications, ranging from reconstructive surgery to the design of medical devices. This work compares ...

New calculations have revealed that the super-energetic jets produced by spinning black holes could be a source for elusive dark matter particles. When you purchase through links on our site, we may ...

This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.