Improving the Efficiency of Gradient Descent Algorithms Applied to Optimization Problems with Dynamical Constraints.
Ion MateiMaksym ZhenirovskyyJohan de KleerJohn Maxwell IIIPublished in: CoRR (2022)
Keyphrases
- optimization problems
- cost function
- computational efficiency
- computational complexity
- evolutionary algorithm
- combinatorial optimization
- learning algorithm
- orders of magnitude
- benchmark datasets
- constrained problems
- non binary
- optimization methods
- computationally efficient
- metaheuristic
- worst case
- computational cost
- constrained optimization
- significant improvement
- optimization criteria
- objective function