Particle Swarm Optimization (PSO) and its applications
Particle Swarm Optimization (PSO) and its applications
PSO is an optimization technique which optimizes in finding a solution to the particular problem by improving the candidate solution. PSO algorithm mimics the behavior of bird flocking, the social behavior of group of people. PSO is being used in many real time applications.
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- Computer Society of India
- St Johns Road
- Hyderabad, Andhra Pradesh
- India 500025
- Building: Archana Arcade
- Room Number: 302
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- Co-sponsored by Computer Society of India
- Starts 28 January 2018 04:30 AM UTC
- Ends 04 February 2018 04:00 AM UTC
- No Admission Charge
Speakers
Naveen Nekuri of University of Hyderabad
Particle Swarm Optimizations and its applications
PSO is an optimization technique which optimizes in finding a solution to the particular problem by improving the candid
Biography:
Dr. N. Naveen working as an assistant professor in SCIS, University of Hyderabad. He obtained his Ph.D from University of Hyderabad in 2013. Prior to Ph.D he completed his M.Tech and B.Tech from JNTUH 2006 and 2004 respectively. He has published papers in international journals and conferences. His research areas are Data Mining, Optimisation Techniques, Neural Networks, churn prediction, bankruptcy prediction, etc.
Email:
Address:University of Hyderabad, , Hyderabad, Andhra Pradesh, India, 500081
Agenda
Particle Swarm Optimization (PSO) and its applications - PSO is an optimization technique which optimizes in finding a solution to the particular problem by improving the candidate solution. PSO algorithm mimics the behavior of bird flocking, the social behavior of group of people. PSO is being used in many real time applications.
In collaboration with Computer Society of India