Capping methods for the automatic configuration of optimization algorithms.
Marcelo de SouzaMarcus RittManuel López-IbáñezPublished in: Comput. Oper. Res. (2022)
Keyphrases
- optimization methods
- benchmark datasets
- methods outperform
- computationally expensive
- algorithms require
- computational cost
- synthetic and real datasets
- synthetic and real data sets
- significant improvement
- machine learning methods
- computationally demanding
- machine learning algorithms
- quasi newton
- methods require
- computer vision algorithms
- complexity analysis
- heuristic methods
- concave convex procedure
- computationally intensive
- data structure
- genetic algorithm
- search methods
- high computational complexity
- difficult problems
- efficient optimization
- evaluation measures
- monte carlo methods
- convergence analysis
- synthetic datasets
- evaluation metrics
- global optimization
- statistical methods
- optimization method
- optimization algorithm
- theoretical analysis
- multi objective
- preprocessing
- search algorithm
- learning algorithm