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Career

· Researcher, Massachusetts Institute of Technology (MIT) Vision Group2024–
· Researcher in Vision Group, MIT2023–

Publications (49)

A novel Random Walk Grey Wolf Optimizer
Swarm and Evolutionary Computation · 2019
366
cited
A hybrid self-adaptive sine cosine algorithm with opposition based learning
Expert systems with applications · 2019
258
cited
Reliability-Based Optimization Using Evolutionary Algorithms
IEEE Transactions on Evolutionary Computation · 2009
236
cited
Improved sine cosine algorithm with crossover scheme for global optimization
Knowledge-Based Systems · 2019
156
cited
Comparison of metaheuristic optimization algorithms for solving constrained mechanical design optimization problems
Expert systems with applications · 2021
142
cited
A memory-based Grey Wolf Optimizer for global optimization tasks
Applied Soft Computing · 2020
136
cited
An aggregative learning gravitational search algorithm with self-adaptive gravitational constants
Expert systems with applications · 2020
114
cited
Opposition-based learning Harris hawks optimization with advanced transition rules: principles and analysis
Expert systems with applications · 2020
103
cited
A modified Sine Cosine Algorithm with novel transition parameter and mutation operator for global optimization
Expert systems with applications · 2020
97
cited
Fairness and Collaboration in Network Air Traffic Flow Management: An Optimization Approach
Transportation Science · 2016
93
cited
An efficient equilibrium optimizer with mutation strategy for numerical optimization
Applied Soft Computing · 2020
92
cited
Sine cosine grey wolf optimizer to solve engineering design problems
Engineering computations · 2020
90
cited
Harmonized salp chain-built optimization
Engineering computations · 2019
85
cited
A memory guided sine cosine algorithm for global optimization
Engineering applications of artificial intelligence · 2020
83
cited
A novel hybrid sine cosine algorithm for global optimization and its application to train multilayer perceptrons
Applied intelligence (Boston) · 2019
73
cited
Enhanced leadership-inspired grey wolf optimizer for global optimization problems
Engineering computations · 2019
73
cited
Hybrid sine cosine artificial bee colony algorithm for global optimization and image segmentation
Neural computing & applications (Print) · 2019
60
cited
A 3-approximation algorithm for the facility location problem with uniform capacities
Mathematical programming · 2013
58
cited
Dynamic resource allocation: A flexible and tractable modeling framework
European Journal of Operational Research · 2014
47
cited
An opposition-based chaotic Grey Wolf Optimizer for global optimisation tasks
Journal of experimental and theoretical artificial intelligence (Print) · 2018
46
cited
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Shubham Gupta | Researcher Profile | Sotabase | Sotabase