Sampling Effects on Algorithm Selection for Continuous Black-Box Optimization.
Mario Andrés MuñozMichael KirleyPublished in: Algorithms (2021)
Keyphrases
- black box
- optimization algorithm
- detection algorithm
- k means
- fine tuning
- search space
- dynamic programming
- learning algorithm
- optimization method
- particle swarm optimization
- simulated annealing
- computational complexity
- probabilistic model
- np hard
- cost function
- expectation maximization
- constrained optimization
- selection algorithm
- convergence rate
- data sets
- markov chain monte carlo
- global search
- optimization process
- case study
- high level
- objective function
- segmentation algorithm
- lower bound
- linear programming
- worst case