Worms as particle sweepers: How simple movement, not intelligence, drives environmental order

When observing small worms under a microscope, one might observe something very surprising: the worms appear to make a ...
Live Science

Particle physics: Facts about the elementary particles that make up our universe

Discover the fascinating world of particle physics — the most fundamental building blocks of the universe and the forces that connect them. When you purchase through links on our site, we may earn an ...
Frontiers

Control parameter identification method for virtual synchronous generator considering electric vehicles based on dynamic particle swarm optimization

1 Research Department of State Grid Zhejiang Electric Power Research Institute, Hangzhou, China 2 Research Department of State Grad Aksu Electric Power Supply Company, Aksu, China To address the ...
pv magazine International

Novel MPPT tech based on salp swarm, hill climbing algorithms

An international research team has developed a hybrid maximum power point tracking (MPPT) technique for PV systems that operate under partial shading or rapidly changing atmospheric parameters. The ...
Scientific Research Publishing

Gad, A.G. (2022) Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review. Archives of Computational Methods in Engineering, 29, 2531-2561.

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 ...
IEEE

Virtual Position Guided Strategy for Particle Swarm Optimization Algorithms on Multimodal Problems

Abstract: Premature convergence is a thorny problem for particle swarm optimization (PSO) algorithms, especially on multimodal problems, where maintaining swarm diversity is crucial. However, most ...
IEEE

Adaptive Particle Swarm Optimization Algorithm and Application Model Based on Diversity-Driven Optimization

Abstract: The rapid development of Internet of Things technologies has led to the continuous increase and complexity of data feature dimensions. Therefore, a diversity-driven optimization-based ...