Kavita Sharma
Papers
1
Total Citations
16
H-Index
1
About
Kavita Sharma is a prominent researcher in computational intelligence, with a primary focus on evolutionary algorithms and their application to complex real-world problems. Her most-cited work, the "Black-Hole Gbest Differential Evolution Algorithm for Solving Robot Path Planning Problem" (2018, 16 citations), introduces a novel hybrid metaheuristic that synergizes differential evolution with a black-hole-inspired global best mechanism. This contribution significantly advances path planning in robotics by enhancing convergence speed and solution accuracy, offering a robust framework for autonomous navigation in dynamic environments. Beyond this flagship paper, Sharma’s research spans optimization theory, swarm intelligence, and machine learning, where she has developed algorithms that balance exploration and exploitation to tackle high-dimensional, constrained problems. Her work has garnered attention for its practical applicability in engineering and automation, with her citation record reflecting steady influence among peers in the evolutionary computation community. Sharma is recognized for bridging theoretical algorithm design with tangible robotic systems, making her a key figure in the ongoing evolution of intelligent optimization techniques.
Research Focus
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Top Papers
- 1