Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking.
Laurent MeunierHerilalaina RakotoarisonPak-Kan WongBaptiste RozièreJérémy RapinOlivier TeytaudAntoine MoreauCarola DoerrPublished in: CoRR (2020)
Keyphrases
- black box
- optimization algorithm
- learning algorithm
- computational complexity
- dynamic programming
- cost function
- case study
- optimization process
- multi objective
- fine tuning
- evolution strategy
- selection algorithm
- preprocessing
- detection algorithm
- optimization method
- combinatorial optimization
- objective function
- np hard
- probabilistic model
- test cases
- convergence rate
- search space
- simulated annealing
- worst case
- global search
- optimization model
- state space
- black boxes