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This document provides a comprehensive review of Particle Swarm Optimization (PSO), detailing its foundational research, various algorithmic variants, and real-world applications across multiple domains. It discusses the strengths and limitations of PSO compared to other optimization algorithms, identifies research gaps, and suggests future research directions such as deep learning optimization and quantum computing integration. The paper emphasizes the importance of hybrid and adaptive approaches for the f
- Author
- nauravkakshi
- Language
- EN