Abstract: Like many other optimization algorithms, particle swarm optimization could be possibly stuck in a poor region of the search space or diverge to unstable situations. For relieving such ...

Particle Swarm Optimization (PSO) is a population-based metaheuristic inspired by the collective movement of social organisms. Since its inception in the mid-1990s, PSO has undergone extensive ...

Learn vibe coding: Use AI tools to build apps without coding. This guide covers setup, limits, risks, and SEO tool examples to inspire your own projects. Vibe coding is a new way to create software ...

To address the issues of insufficient control parameter identification accuracy and convergence speed during the grid connection of distributed power sources, a control parameter identification method ...

ABSTRACT: Metallic pipeline corrosion poses a significant challenge in the petrochemical industry. In this study, the design and control of a stand-alone photovoltaic (PV)-powered cathodic protection ...

Department of Computer Sciences, Suez Canal University, Ismailia, Egypt. Analyzing big data, especially medical data, helps to provide good health care to patients and face the risks of death. The ...

Abstract: Particle swarm optimization (PSO) is a swarm intelligence algorithm that finds candidate solutions by iteratively updating the positions of particles in a swarm. PSO performance depends on ...