Dr. Mohit JainAssistant Professor in School of Automation, Banasthali Vidyapith, Jaipur, India
Speech Title: Nature-inspired meta-heuristics for optimization of real-time systems
Abstract: In the current competitive world, resources are depleting day by day which forces people to make maximum profit at minimal cost and resources. Mathematical modelling of these issues evolves into maxima and minima problems, generally known as optimization problems. Several methods available to solve these optimization problems are broadly divided into two categories: classical approaches and modern metaheuristic algorithms. Classical approaches generally follow a step by step procedure and provide same solution every time for the same initial point. On the other hand, modern metaheuristic algorithms use stochastic distributions and generally do not provide same solution under same circumstances. In last few decades, a revolutionary change is observed in the field of optimization due to remarkable development of nature-inspired metaheuristic search algorithms. Thus, in this talk I will focus on few relevant topics regarding nature-inspired meta-heuristics such as (a) Why meta-heuristics? (b) Our recent developments in the field of meta-heuristics (c) Applications of designed meta-heuristics (d) Challenges in the development of meta-heuristics.
Biography: Dr. Mohit Jain is presently working as an Assistant Professor in School of Automation, Banasthali Vidyapith, Jaipur, India. He is having more than 9 years of teaching as well as research experience. His main research interests include intelligent control systems, artificial intelligence and optimization algorithms. He is highly active in developing novel nature inspired optimization algorithms for real time systems. Thus, he received best paper award for one of his popular algorithm called as “Owl search algorithm” in the 3rd International Symposium on Intelligent Systems Technologies and Applications (ISTA’17), Manipal University, Karnataka, India. One of his research publications entitled, “A novel nature-inspired algorithm for optimization: Squirrel search algorithm” is under most cited research paper category in Swarm and Evolutinary Computation which is a prestigious journal of Elsevier. Dr. Mohit Jain received his B. Tech. in Electronics and Instrumentation from U. P. Technical University, Lucknow, India in 2009. He received the M. Tech. degree in Process Control from the Netaji Subhas Institute of Technology, University of Delhi, India in 2013. He is successfully defended the Ph.D. degree in Instrumentation and control at the Netaji Subhas Institute of Technology, University of Delhi, New Delhi, India.