Dr. Dipti Singh, received her PhD from the Indian Institute of Technology, Roorkee studying Optimization Techniques. She currently works at the Department of Applied Mathematics, Gautam Buddha University. She does research in Applied Mathematics. Her area of interest is applications of soft computing techniques in various disciplines of engineering. Her current project is 'forecasting and Analysis of Solid Waste and its Management in India.
Dr. Vanita Garg, received her PhD from the Indian Institute of Technology, Roorkee, studying Applied Mathematics. She teaches at Galgotia University, specializing in Nature Inspired Optimization Techniques. Her research areas include Operational Research, Unconstrained Optimization Problems, Constrained Optimization Problems, and Biogeography Based Optimization Algorithm.
1) AN OVERVIEW OF SWARM INTELLIGENCE BASED ALGORITHMS
2) Particle Swarm Optimization and its Applications in the Manufacturing Industry
3) Role of Machine Learning in Bioprocess Engineering: Current Perspectives and Future Directions
4) Advanced Selection Operation for Differential Evolution Algorithm
5) Profit Optimization of Two-Unit Briquetting System using grey wolf Optimization algorithm
6) Solving Portfolio optimization using Sine-cosine Algorithm embedded mutation operations
7) Detecting Group Shilling Profiles in Recommender Systems: A Hybrid Clustering and Grey Wolf Optimizer Technique
8) SINGLE IMAGE REFLECTION REMOVAL USING DEEP LEARNING
9) Social media analysis: A tool for popularity prediction using machine learning classifiers