To overcome this problem, optimization methods such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are used. In this paper, a hybrid GA-PSO was adopted to tune the PI controllers of ...

High Voltage Direct Current (HVDC) transmission line of 2500MW, ±500kV is modeled in the PSB/SIMULINK software and the system is analyzed for its performance. Particle Swarm Optimization (PSO) ...

The PSO algorithm was implemented in MATLAB to search for the optimal coil positions. The key parameters were chosen based on the assignment brief and common PSO practices.

On the basis of the principal components analysis-particle swarm optimization-least squares support vector machine (PCA-PSO-LSSVM) algorithm, a fault diagnosis system is proposed for the compressor ...

To solve the motion planning of the live working manipulator, this research proposes a hybrid data-model–driven algorithm called the P-SAC algorithm. In the model-driven part, to avoid obstacles and ...

Aiming at the problem of complex Active Disturbance Rejection Control (ADRC) adjustment relying on manual experience, the PSO-ADRC algorithm is proposed to realize the automatic adjustment of its ...

In this paper, a rectangular layer-packing algorithm (RLPA) combined with modified genetic algorithm (GA) or particle swarm optimization (PSO) algorithm is developed to solve the problem with emerging ...

Heart disease prediction plays a crucial role in early diagnosis and treatment. This project proposes a multi-objective genetic algorithm (MOGA) combined with particle swarm optimization (PSO) for ...