Arindam Jati
Papers
1
Total Citations
11
H-Index
1
About
Arindam Jati is a researcher whose work lies at the intersection of swarm intelligence, robotics, and optimization algorithms. His most cited contribution, "A hybridisation of Improved Harmony Search and Bacterial Foraging for multi-robot motion planning" (2012, 11 citations), introduces a novel approach that integrates the chemotactic behavior of the Bacterial Foraging Optimization Algorithm (BFOA) into the Improved Harmony Search (IHS) framework. This hybrid algorithm was rigorously tested on CEC-2005 benchmark functions, demonstrating superior performance over existing methods. The work addresses the complex challenge of multi-robot motion planning, a critical area in autonomous systems and robotics. By combining the exploration capabilities of harmony search with the exploitation strengths of bacterial foraging, Jati’s research offers a more efficient path-planning solution. While his citation count reflects a focused, early-career impact, the algorithmic innovation showcased in this paper has potential applications in robotics, logistics, and autonomous navigation. Jati’s work exemplifies how bio-inspired computation can solve real-world engineering problems, making him a notable contributor to the fields of swarm robotics and metaheuristic optimization.
Research Focus
Key Achievements
Top Papers
- 1