K.N. Krishnanand
Indian Institute of Science Bangalore, University of Vermont
Papers
8
Total Citations
925
H-Index
8
About
K.N. Krishnanand is a pioneering figure in swarm intelligence and collective robotics, best known for developing the Glowworm Swarm Optimization (GSO) algorithm. His research centers on bio-inspired computation, multimodal function optimization, and multi-robot coordination for source localization. Krishnanand’s seminal 2005 paper, “Detection of multiple source locations using a glowworm metaphor with applications to collective robotics” (343 citations), introduced a novel algorithm that enables swarms of simple robots to simultaneously locate and converge on multiple signal sources, such as radiation leaks or chemical spills. This work, along with his 2009 exposition “Glowworm swarm optimisation: a new method for optimising multi-modal functions” (192 citations), established GSO as a distinct approach from ant colony optimization and particle swarm optimization, capable of capturing all local optima in complex landscapes. His 2006 paper (184 citations) further demonstrated GSO’s effectiveness in collective robotics, showing how minimalist robots can self-organize into subgroups and perform taxis toward multiple targets. With over 900 total citations across his most-cited works, Krishnanand’s contributions have profoundly influenced autonomous multi-robot systems and optimization theory, offering practical solutions for hazardous environment exploration and distributed sensing.
Research Focus
Key Achievements
Top Papers
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- 2Glowworm swarm optimisation: a new method for optimising multi-modal functions192 citations · 2009
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- 7Glowworm Swarm Optimization for Multimodal Search Spaces13 citations · 2011
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