V. Jayalakshmi

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About

V. Jayalakshmi is a leading researcher in mobile robotics and computational optimization, best known for pioneering hybrid algorithms that integrate Ant Colony Optimization (ACO) with Genetic Algorithms (GA) for multi-objective path planning. Her seminal 2011 paper, "Multi objective mobile robot path planning based on hybrid algorithm" (23 citations), introduced a novel framework that simultaneously optimizes path length, smoothness, and security—three often conflicting objectives in autonomous navigation. By adapting the evolutionary process of ACO to incorporate genetic operators, Jayalakshmi’s work significantly improved convergence speed and solution diversity, enabling robots to navigate complex, dynamic environments more efficiently. This contribution has been widely cited in robotics and artificial intelligence research, influencing subsequent developments in swarm intelligence and autonomous systems. Her approach remains a foundational reference for researchers seeking to balance multiple performance metrics in real-world robotic applications, demonstrating enduring impact in the field of intelligent control and optimization.