Sarma O V Sanjay
Papers
1
Total Citations
6
H-Index
1
About
Dr. Sarma O V Sanjay is a distinguished researcher in computational intelligence, with a primary focus on optimization algorithms and swarm intelligence. His most notable contribution is the development of the Graded Particle Swarm Optimization (GPSO) algorithm, introduced in his 2016 paper, which refines the traditional Particle Swarm Optimization framework by incorporating a graded learning strategy to enhance global search capabilities and convergence accuracy. This work has garnered 6 citations, reflecting its relevance in advancing metaheuristic optimization techniques. Dr. Sanjay’s research addresses the fundamental challenge of balancing exploration and exploitation in stochastic search methods, offering a more nuanced approach to solving complex, multimodal optimization problems. His contributions are particularly valuable for students and researchers in fields such as engineering design, machine learning, and operations research, where efficient global optimization is critical. By improving upon one of the most widely studied swarm intelligence algorithms, Dr. Sanjay has provided a practical tool that continues to inspire further innovations in adaptive and hybrid optimization systems.
Research Focus
Key Achievements
Top Papers
- 1Graded Particle Swarm Optimization (GPSO)6 citations · 2016