Researchers at Adelaide University have developed a new type of robotic system inspired by bees and ants that could make ...

Using a Particle Swarm Optimization (PSO) algorithm, the study found that coordinated sizing and dispatch of distributed energy resources can ...

Abstract: This paper proposes an improved maximum power point tracking (MPPT) method for the photovoltaic (PV) system using a modified particle swarm optimization (PSO) algorithm. The main advantage ...

A research team has developed an optimized energy management strategy for a hybrid residential microgrid that combines solar ...

This study proposes a Fractional Calculus Hybrid Approach to enhance the dynamic and thermal performance of vector-controlled Permanent Magnet Synchronous Motor (PMSM) drives. The method employs a ...

Abstract: This paper presents a novel adaptive solution space methodology integrated with Particle Swarm Optimization (PSO) to dynamically adjust search boundaries in response to swarm movement within ...

This study presents a comprehensive investigation into the optimization of PID control parameters for marine dual-fuel engines using an improved particle swarm algorithm. Through the development of a ...

Understanding concepts like computational loads, managing and optimizing drone swarm performance, swarm behavior, and related aspects (especially in defense applications) can initially seem daunting.

Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable performance for problem solving. The convergence analysis of the method is still in research. This article ...

In this research, we carried out the modeling of the ball and beam system (BBS) within the MATLAB/Simulink framework by applying both proportional-integral-derivative (PID) and fuzzy logic control ...