Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization.
Carolin BenjaminsElena RaponiAnja JankovicCarola DoerrMarius LindauerPublished in: GECCO Companion (2023)
Keyphrases
- efficient optimization
- optimization problems
- optimization algorithm
- bayesian networks
- significant improvement
- artificial intelligence
- data sets
- weighted sum
- posterior probability
- monte carlo sampling
- bayesian analysis
- discrete optimization
- bayesian learning
- optimization model
- optimization procedure
- optimization process
- posterior distribution
- bayesian inference
- optimization methods
- optimization method
- data driven
- linear programming
- simulated annealing
- prior knowledge
- information systems
- genetic algorithm