Guest Editors
Dr. Diego Oliva, Universidad de Guadalajara, Mexico
Dr. Mario A. Navarro, Universidad de Guadalajara, Mexico
Summary
The field of Particle Swarm Optimization (PSO) has experienced significant growth and innovation, driving progress in solving complex optimization problems in a variety of domains. Inspired by the social behavior of birds and fish, PSO is a powerful and versatile optimization technique used in engineering, computer science, and other fields. This special issue focuses on the latest advances in PSO and its various applications, highlighting its impact on solving real-world problems with high efficiency and effectiveness. The collection includes studies exploring new variations and improvements in PSO algorithms, theoretical analyses, and practical implementations. Applications cover many areas, such as robotics, automation, and healthcare and medical applications. This issue also presents reviews and studies that provide an overview of the current state and future potential of PSO, making it a valuable resource for researchers and experts.
Keywords
Particle Swarm Optimization, Optimization algorithms, Engineering applications, Computational intelligence, Theoretical analysis, Algorithm improvements
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