Home / Research Library / An Overview of Variants and Advancements of PSO Al...
🤖 Artificial Intelligence OpenAlex

An Overview of Variants and Advancements of PSO Algorithm

📅 August 23, 2022 👤 Meetu Jain, Vibha Saihjpal, Narinder Singh et al. 📖 Applied Sciences 📊 659 citations

🤖 Plain-English Summary

Particle swarm optimization (PSO) is one of the most famous swarm-based optimization techniques inspired by nature. In the present paper, an overview of the PSO algorithm is presented.

🔑 Key Findings

  • Due to its properties of flexibility and easy implementation, there is an enormous increase in the popularity of this nature-inspired technique.
  • Particle swarm optimization (PSO) has gained prompt attention from every field of researchers.
  • Since its origin in 1995 till now, researchers have improved the original Particle swarm optimization (PSO) in varying ways.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

Read the full paper
Access the original peer-reviewed research via OpenAlex.

View on DOI ↗

📋 Article Details

Category 🤖 Artificial Intelligence
Published Aug 23, 2022
Journal Applied Sciences
Authors Meetu Jain, Vibha Saihjpal, Narinder Singh, Satya Bir Singh
DOI 10.3390/app12178392
Citations 659
Source OpenAlex

More 🤖 Artificial Intelligence Research