Deepak B. B. V. L.
Papers
1
Total Citations
9
H-Index
1
About
Deepak B. B. V. L. is a researcher focused on the intersection of evolutionary computation and mechanical design optimization. His primary research areas include multi-objective optimization, metaheuristic algorithms, and their application to complex engineering problems—particularly in robotics and automated systems. His most notable contribution is the development of an improved multi-objective antlion optimization algorithm, specifically applied to the optimal design of robotic grippers for automated material handling. This work addresses a challenging non-linear, multi-constraint, and multi-criteria problem, demonstrating how evolutionary computational methods can effectively navigate complex design spaces to produce superior configurations. With his most-cited paper accumulating 9 citations, his research provides a practical bridge between theoretical algorithm development and real-world engineering solutions, offering valuable insights for students and researchers working in optimization, robotics, and intelligent design automation.
Research Focus
Key Achievements
Top Papers
- 1