Speakers Bio & Abstract

 
ANIL GOSWAMI Digital Terrain Research Laboratory
India

BiographyMr Anil Kumar Goswami is working as Scientist E at DTRL, DRDO, Delhi. He is having more than 13 years of experience at DRDO. He is working in the area of Artificial Intelligence including Artificial Neural Network, Swarm Intelligence, Image Processing, Pattern Recognition and Knowledge Management. He has started working in the area of Cognitive Modeling. He has done BE in Computer Science & Engineering and than completed MBA from FMS, Delhi University. Presently, he is pursuing PhD in Knowledge Management from IIM Kashipur.Abstract Route Optimization in Off-Road Mobility for Defence Applications: A shift from Traditional Algorithms to Swarm Intelligence to Cognitive ModelingRoute Optimization in off-road terrain is always a complex and challenging problem. A number of algorithms have been developed mostly for scenarios having limited number of nodes such as road network or vector data. But the problem even becomes more complex when a scenario is visualized for off-road mobility where there are millions of pixels to be processed. Moreover there is always a need to solve this problem in the way a human does rather than finding the solution based on traditional algorithms.
Traditional algorithms have been used to find shortest or optimal path by considering each pixel as a node in network surrounded by eight nodes. These algorithms are static in nature and require tremendous amount of computational resources. Swarm intelligence approaches like ant colony optimization (ACO), particle swarm optimization (PSO), bee colony optimization (BCO) etc. are new paradigm to solve route optimization problem in more intelligent way as optimization problem like the real world insects solve a problem. Current research in solving route optimization problem is now shifting from insect intelligence way to human intelligence way by way of cognitive modeling.
The current work pertains to shifting of solving of route optimization problem in off-road terrain from traditional algorithm namely dijkastra algorithm to swarm intelligence algorithms namely ACO and PSO and then towards cognitive modeling approaches such as fuzzy cognitive modeling (FCM).