Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies.
Varun OjhaJon TimmisGiuseppe NicosiaPublished in: Swarm Evol. Comput. (2022)
Keyphrases
- sensitivity analysis
- evolutionary algorithm
- hyperparameters
- model selection
- managerial insights
- support vector
- variational inequalities
- cross validation
- closed form
- em algorithm
- bayesian framework
- genetic algorithm
- gaussian process
- bayesian inference
- incremental learning
- random sampling
- noise level
- maximum likelihood
- sample size
- prior information
- data streams
- probabilistic model
- parameter settings
- maximum a posteriori
- active learning
- data sets
- multiscale
- fitness function
- decision trees