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Prachi Agrawal
Affiliation
Dept. of Mathematics and Scientific Computing, National Institute of Technology Hamirpur, Himachal Pradesh, India
Topic
Crossover Operator,Hybrid Algorithm,Knowledge Sharing,Adaptive Algorithm,Amount Of Product,Bat Algorithm,Benchmark Datasets,Benchmark Functions,Benchmark Problems,Binary Optimization,Binary Search,Binary Space,Binary Version,Candidate Solutions,Constrained Optimization,Constrained Optimization Problem,Control Parameters,Decision Variables,Demand Constraints,Description Of Algorithm,Destination Location,Differential Evolution,Differential Evolution Algorithm,Evolutionary Algorithms,Expected Value,Exploration Capabilities,Extreme Learning Machine,Feature Selection Problem,Feature Subset,Global Optimal Solution,Global Solution,Grey Wolf Optimizer,Improvement In Rate,Intrusion Detection System,K-nearest Neighbor,Learning Algorithms,Learning Rate,Local Solution,Machine Learning Tasks,Maximum Number Of Evaluations,Model Problem,Mutation Strategy,Near-optimal Solution,Objective Value,Optimal Feature,Optimal Feature Subset,Optimal Plan,Optimal Subset,Optimal Transport,Optimization Algorithm,
Biography
Prachi Agrawal received the B.Sc. degree in mathematics from the Ramjas College, Delhi University, Delhi, India, in 2012, and the M.Sc. degree in mathematics from the Indian Institute of Technology Delhi, India, in 2014. She is currently pursuing the Ph.D. degree with the Department of Mathematics and Scientific Computing, National Institute of Technology Hamirpur, India. She has published more than ten research articles in peer reviewed journals such as neural computing and applications, OPSERCH, International journal of swarm and intelligent research, Complexity and presented various papers in international conferences. Her main research interests are in the areas of stochastic optimization using computational intelligence techniques. Her research areas include optimization, metaheuristic algorithms, and evolutionary programming.