Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking.
Laurent MeunierHerilalaina RakotoarisonPak-Kan WongBaptiste RozièreJérémy RapinOlivier TeytaudAntoine MoreauCarola DoerrPublished in: IEEE Trans. Evol. Comput. (2022)
Keyphrases
- black box
- optimization algorithm
- detection algorithm
- dynamic programming
- learning algorithm
- optimization method
- databases
- computational complexity
- k means
- constrained optimization
- optimal solution
- objective function
- selection algorithm
- np hard
- fine tuning
- optimization process
- stochastic gradient
- particle swarm optimization
- worst case
- convergence rate
- evolutionary algorithm