Comparing Surrogate Models for Tuning Optimization Algorithms.
Gustavo DelazeriMarcus RittMarcelo de SouzaPublished in: LION (2022)
Keyphrases
- optimization problems
- times faster
- learning algorithm
- computational efficiency
- optimization algorithm
- optimization approaches
- discrete optimization
- parameter tuning
- graph theory
- worst case
- computationally efficient
- global optimization
- parameter settings
- optimization methods
- support vector
- data structure
- evolution strategy
- global convergence
- computer vision
- stochastic search
- stochastic gradient
- data sets